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      Source code for components.agent.react

      -"""Implementation of ReAct."""
      -
      -from typing import List, Union, Callable, Optional, Any, Dict
      -from copy import deepcopy
      -import logging
      -
      -
      -from lightrag.core.generator import Generator
      -from lightrag.core.component import Component
      -from lightrag.core.func_tool import FunctionTool, AsyncCallable
      -from lightrag.core.tool_manager import ToolManager
      -from lightrag.components.output_parsers import JsonOutputParser
      -from lightrag.core.types import (
      -    StepOutput,
      -    GeneratorOutput,
      -    Function,
      -    FunctionOutput,
      -    FunctionExpression,
      -)
      -from lightrag.core.model_client import ModelClient
      -from lightrag.utils.logger import printc
      -
      -
      -log = logging.getLogger(__name__)
      -
      -DEFAULT_REACT_AGENT_SYSTEM_PROMPT = r"""<<SYS>>
      -{# role/task description #}
      -You are a helpful assistant.
      -Answer the user's query using the tools provided below with minimal steps and maximum accuracy.
      -{# REACT instructions #}
      -Each step you will read the previous Thought, Action, and Observation(execution result of the action) and then provide the next Thought and Action.
      -{# Tools #}
      -{% if tools %}
      -<TOOLS>
      -You available tools are:
      -{# tools #}
      -{% for tool in tools %}
      -{{ loop.index }}.
      -{{tool}}
      -------------------------
      -{% endfor %}
      -</TOOLS>
      -{% endif %}
      -{# output is always more robust to use json than string #}
      -<OUTPUT_FORMAT>
      -{{output_format_str}}
      -</OUTPUT_FORMAT>
      -<TASK_SPEC>
      -{# Specifications TODO: preference between the usage of llm tool vs the other tool #}
      -- For simple queries: Directly call the ``finish`` action and provide the answer.
      -- For complex queries:
      -    - Step 1: Read the user query and potentially divide it into subqueries. And get started with the first subquery.
      -    - Call one available tool at a time to solve each subquery/subquestion. \
      -    - At step 'finish', join all subqueries answers and finish the task.
      -Remember:
      -- Action must call one of the above tools with name. It can not be empty.
      -- You will always end with 'finish' action to finish the task. The answer can be the final answer or failure message.
      -</TASK_SPEC>
      -{#Examples can be here#}
      -{# Check if there are any examples #}
      -{% if examples %}
      -<EXAMPLES>
      -{% for example in examples %}
      -{{ example }}
      -{% endfor %}
      -</EXAMPLES>
      -{% endif %}
      -
      -<</SYS>>
      ------------------
      -{% if input_str %}
      -User query:
      -{{ input_str }}
      -{% endif %}
      -{# Step History #}
      -{% if step_history %}
      -<STEPS>
      -{% for history in step_history %}
      -Step {{ loop.index }}.
      -{
      - "thought": "{{history.thought}}",
      - "action": "{{history.action.action}}",
      -}
      -"Observation": "{{history.observation}}"
      -------------------------
      -{% endfor %}
      -</STEPS>
      -{% endif %}
      -"""
      -
      -
      -
      -[docs] -class ReActAgent(Component): - __doc__ = r"""ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response. - - Users need to set up: - - tools: a list of tools to use to complete the task. Each tool is a function or a function tool. - - max_steps: the maximum number of steps the agent can take to complete the task. - - use_llm_as_fallback: a boolean to decide whether to use an additional LLM model as a fallback tool to answer the query. - - model_client: the model client to use to generate the response. - - model_kwargs: the model kwargs to use to generate the response. - - For the generator, the default arguments are: - (1) default prompt: DEFAULT_REACT_AGENT_SYSTEM_PROMPT - (2) default output_processors: JsonParser - - There are `examples` which is optional, a list of string examples in the prompt. - - Example: - - .. code-block:: python - from core.openai_client import OpenAIClient - from components.agent.react import ReActAgent - from core.func_tool import FunctionTool - # define the tools - def multiply(a: int, b: int) -> int: - '''Multiply two numbers.''' - return a * b - def add(a: int, b: int) -> int: - '''Add two numbers.''' - return a + b - agent = ReActAgent( - tools=[multiply, add], - model_client=OpenAIClient, - model_kwargs={"model": "gpt-3.5-turbo"}, - ) - - Using examples: - - preset_prompt_kwargs = {"examples": examples} - agent = ReActAgent( - tools=[multiply, add], - model_client=OpenAIClient, - model_kwargs={"model": "gpt-3.5-turbo"}, - preset_prompt_kwargs=preset_prompt_kwargs, - ) - - Reference: - [1] https://arxiv.org/abs/2210.03629, published in Mar, 2023. - """ - - def __init__( - self, - # added arguments specifc to React - tools: List[Union[Callable, AsyncCallable, FunctionTool]] = [], - max_steps: int = 10, - add_llm_as_fallback: bool = True, - *, - # the following arguments are mainly for the planner - model_client: ModelClient, - model_kwargs: Dict = {}, - ): - super().__init__() - template = DEFAULT_REACT_AGENT_SYSTEM_PROMPT - - self.max_steps = max_steps - - self.add_llm_as_fallback = add_llm_as_fallback - - self._init_tools(tools, model_client, model_kwargs) - - ouput_data_class = FunctionExpression - example = FunctionExpression.from_function( - thought="I have finished the task.", - func=self._finish, - answer="final answer: 'answer'", - ) - output_parser = JsonOutputParser(data_class=ouput_data_class, example=example) - prompt_kwargs = { - "tools": self.tool_manager.yaml_definitions, - "output_format_str": output_parser.format_instructions(), - } - self.planner = Generator( - template=template, - prompt_kwargs=prompt_kwargs, - output_processors=output_parser, - model_client=model_client, - model_kwargs=model_kwargs, - ) - - self.step_history: List[StepOutput] = [] - - def _init_tools( - self, - tools: List[Union[Callable, AsyncCallable, FunctionTool]], - model_client: ModelClient, - model_kwargs: Dict, - ): - r"""Initialize the tools.""" - tools = deepcopy(tools) - _additional_llm_tool = ( - Generator(model_client=model_client, model_kwargs=model_kwargs) - if self.add_llm_as_fallback - else None - ) - - def llm_tool(input: str) -> str: - """I answer any input query with llm's world knowledge. Use me as a fallback tool or when the query is simple.""" - # use the generator to answer the query - try: - output: GeneratorOutput = _additional_llm_tool( - prompt_kwargs={"input_str": input} - ) - response = output.data if output else None - return response - except Exception as e: - log.error(f"Error using the generator: {e}") - print(f"Error using the generator: {e}") - - return None - - def finish(answer: str) -> str: - """Finish the task with answer.""" - return answer - - self._finish = finish - - if self.add_llm_as_fallback: - tools.append(llm_tool) - tools.append(finish) - self.tool_manager = ToolManager(tools=tools) - -
      -[docs] - def reset(self): - r"""Reset the agent to start a new query.""" - self.step_history = []
      - - - def _execute_action(self, action_step: StepOutput) -> Optional[StepOutput]: - """ - Parse the action string to a function call and execute it. Update the action_step with the result. - """ - action = action_step.action - try: - - fun: Function = self.tool_manager.parse_function_call_expr(action) - result: FunctionOutput = self.tool_manager.execute_function(fun) - # TODO: optimize the action_step - action_step.fun_name = fun.name - action_step.fun_args = fun.args - action_step.fun_kwargs = fun.kwargs - action_step.observation = result.output - return action_step - except Exception as e: - log.error(f"Error executing {action}: {e}") - # pass the error as observation so that the agent can continue and correct the error in the next step - action_step.observation = f"Error executing {action}: {e}" - return action_step - - def _run_one_step(self, step: int, prompt_kwargs: Dict, model_kwargs: Dict) -> str: - """ - Run one step of the agent. - """ - # step_history is the only per-query variable, and should not be controlled by the user - # add the step_history to the prompt_kwargs - prompt_kwargs["step_history"] = self.step_history - - log.debug( - f"Running step {step} with prompt: {self.planner.prompt(**prompt_kwargs)}" - ) - - # call the super class Generator to get the response - response: GeneratorOutput = self.planner( - prompt_kwargs=prompt_kwargs, model_kwargs=model_kwargs - ) - step_output: StepOutput = None - try: - fun_expr: FunctionExpression = FunctionExpression.from_dict(response.data) - step_output = StepOutput( - step=step, thought=fun_expr.thought, action=fun_expr - ) - # print the func expr - log.debug(f"Step {step}: {fun_expr}") - - # execute the action - if step_output and step_output.action: - step_output = self._execute_action(step_output) - printc(f"Step {step}: \n{step_output}\n_______\n", color="blue") - else: - log.error(f"Failed to parse response for step {step}") - except Exception as e: - log.error(f"Error running step {step}: {e}") - if step_output is None: - step_output = StepOutput(step=step, thought="", action="") - else: - step_output.observation = f"Error running step {step}: {e}" - self.step_history.append(step_output) - - return response - -
      -[docs] - def call( - self, - input: str, - promt_kwargs: Optional[Dict] = {}, - model_kwargs: Optional[Dict] = {}, - ) -> Any: - r"""prompt_kwargs: additional prompt kwargs to either replace or add to the preset prompt kwargs.""" - prompt_kwargs = {**promt_kwargs, "input_str": input} - # prompt_kwargs["input_str"] = input - printc(f"input_query: {input}", color="red") - for i in range(self.max_steps): - step = i + 1 - try: - self._run_one_step(step, prompt_kwargs, model_kwargs) - if ( - self.step_history[-1].fun_name - and self.step_history[-1].fun_name == "finish" - ): - break - except Exception as e: - log.error(f"Error running step {step}: {e}") - - answer = self.step_history[-1].observation - printc(f"answer:\n {answer}", color="green") - log.info(f"step_history: {self.step_history}") - self.reset() - return answer
      - - - def _extra_repr(self) -> str: - s = f"max_steps={self.max_steps}, add_llm_as_fallback={self.add_llm_as_fallback}" - s += super()._extra_repr() - return s
      - - - -if __name__ == "__main__": - from components.model_client import GroqAPIClient - from lightrag.core.types import ModelClientType - from lightrag.utils import setup_env # noqa - - # from lightrag.utils import enable_library_logging - - # enable_library_logging(level="DEBUG") - - def multiply(a: int, b: int) -> int: - """ - Multiply two numbers. - """ - return a * b - - def add(a: int, b: int) -> int: - """ - Add two numbers. - """ - return a + b - - def divide(a: float, b: float) -> float: - """ - Divide two numbers. - """ - return float(a) / b - - def search(query: str) -> str: - """ - Search the web for the given query. - """ - return "python programming is a great way to learn programming" - - tools = [ - FunctionTool(fn=multiply), - FunctionTool(fn=add), - FunctionTool(fn=divide), - # FunctionTool.from_defaults(fn=search), - ] - llm_model_kwargs = { - "model": "llama3-70b-8192", # llama3 is not good with string formatting, llama3 8b is also bad at following instruction, 70b is better but still not as good as gpt-3.5-turbo - # mistral also not good: mixtral-8x7b-32768, but with better prompt, it can still work - "temperature": 0.0, - } - - gpt_3_5_turbo_model_kwargs = { - "model": "gpt-3.5-turbo", - } - - examples = [ - # r""" - # User: What is 9 - 3? - # You: { - # "thought": "I need to subtract 3 from 9, but there is no subtraction tool, so I ask llm_tool to answer the query.", - # "action": "llm_tool('What is 9 - 3?')" - # } - # """ - ] - # agent = ReActAgent( - # # examples=examples, - # tools=tools, - # max_steps=5, - # model_client=GroqAPIClient, - # model_kwargs=llm_model_kwargs, - # ) - # print(agent) - queries = [ - # "What is 2 times 3?", - # "What is 3 plus 4?", - "What is the capital of France? and what is 465 times 321 then add 95297 and then divide by 13.2?", - # "Li adapted her pet Apple in 2017 when Apple was only 2 months old, now we are at year 2024, how old is Li's pet Apple?", - "Give me 5 words rhyming with cool, and make a 4-sentence poem using them", - ] - """ - Results: mixtral-8x7b-32768, 0.9s per query - llama3-70b-8192, 1.8s per query - gpt-3.5-turbo, 2.2s per query - """ - import time - - generator = Generator( - model_client=GroqAPIClient(), - model_kwargs=llm_model_kwargs, - ) - # for i in range(3): - agent = ReActAgent( - tools=tools, - max_steps=5, - model_client=ModelClientType.GROQ(), - model_kwargs=llm_model_kwargs, - ) - # agent.llm_planner.print_prompt() - # print(agent) - - # vs not using agent - # print(agent.tools) - - average_time = 0 - for query in queries: - t0 = time.time() - answer = agent(query) - average_time += time.time() - t0 - answer_no_agent = generator(prompt_kwargs={"input_str": query}) - print(f"Answer with agent: {answer}") - print(f"Answer without agent: {answer_no_agent}") - print(f"Average time: {average_time / len(queries)}") -
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      - - \ No newline at end of file diff --git a/_modules/components/data_process/data_components.html b/_modules/components/data_process/data_components.html index 14a8e9e2..7e3c2c35 100644 --- a/_modules/components/data_process/data_components.html +++ b/_modules/components/data_process/data_components.html @@ -29,7 +29,7 @@ - + @@ -494,7 +494,7 @@

      Source code for components.data_process.data_components

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zsx&H=Gvo2eEqH=(Z+t+yK!TC${jR)#al+bz6#?nmlA9E$r$|0ryhel`T1p&2@va$q z3^|}0f$Y>-YC-e^Pt1IS*#<~k;811Ed8)sP zl0HkDlvyAfeZBLH8B}D&mLm2uiKQqKiF?#U6ucy5iz81s6J;jt1@jAqB%tvr3`{jb zCi-?py};BV5r!CSK|==LQvw$5)Ym&pPlAP!Mk$G764{acC>HqmhP8?y6wp^_Pu{iw zvvK}p4YP+W*Cv3K)lqVhcIB|wBgDO`1e=K60TQ8i>q24U2{eeqUQG~;wFN4fl_D$6 zL*rX@E<3#T_@~i738!b$wsspP2m%scz-aJ6v%5O2N0)L_pXXk4@_xLAQ{c;DMHWWC z!dw(0T*Jp#!zE7DE~4EDLc+AZo4D*v(pM?$WzlTH3NZl_=F#RLu~+gvqOu2I6-$iO zQnVGsk6Q!#x!Fa|_EjWv(_*z-{R3);$nL1a;<2od_*?w|5c-*ugYh3a!-aDaj?o98 zvcWQ20Aplv3cXgJKi>XWKEWm=!uCBY?IdhJ``` z4M#L?6aX7&MaX$h7O&@jaqMInOh|2pEsj%)BdyOCsh;i)s5r7XvSRJ_Z7kCf7N~ym z6)jB?n&QCt;aU_D`XeofCMx!|P|A^RloCoC9Bz~B5Q;~@TJCHKgN%BQ!#`|ws>Y-u z)yP9CKy@W!H{8Yyf&v}vokT`rZlY?*vkt)d552S;X z!XZ+M#v2%c>N*hZJw)nwjhyH%G$>=t7U#|u=8#3v_?<<-TVj^-Ww{qi0uz&XoH?Ze zORG%4DpC~|RFNE9Z6T&`f$h$S8+4Fu<5I*B$lH@bO>;*PV z1ujhkHWy1nIk;Y;7MC##NNC zA47C9qiP&n#Qg*`g8GVP0i#4Evf#i6=45yzMFZ1iUn`pMgQ+lS3h?V&Z-WB- - - - - - - - - components.agent.react — LightRAG documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

      -[docs] +[docs] class ToEmbeddings(Component): r"""It transforms a Sequence of Chunks or Documents to a List of Embeddings. @@ -527,7 +527,7 @@

      Source code for components.data_process.data_components

      -[docs] +[docs] class RetrieverOutputToContextStr(Component): r""" Wrap on functional F.retriever_output_to_context_str diff --git a/_modules/components/data_process/text_splitter.html b/_modules/components/data_process/text_splitter.html index 8aed2785..a1058aec 100644 --- a/_modules/components/data_process/text_splitter.html +++ b/_modules/components/data_process/text_splitter.html @@ -29,7 +29,7 @@ - + @@ -466,7 +466,7 @@

      Source code for components.data_process.text_splitter

      -[docs] +[docs] class TextSplitter(Component): """ Text Splitter for Chunking Documents @@ -627,7 +627,7 @@

      Source code for components.data_process.text_splitter

      )
      -[docs] +[docs] def split_text(self, text: str) -> List[str]: """ Splits the provided text into chunks. @@ -654,7 +654,7 @@

      Source code for components.data_process.text_splitter

      -[docs] +[docs] def call(self, documents: DocumentSplitterInputType) -> DocumentSplitterOutputType: """ Process the splitting task on a list of documents in batch. diff --git a/_modules/components/memory/memory.html b/_modules/components/memory/memory.html index 73b286ca..d3499c76 100644 --- a/_modules/components/memory/memory.html +++ b/_modules/components/memory/memory.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/anthropic_client.html b/_modules/components/model_client/anthropic_client.html index 6e667b0b..7b685278 100644 --- a/_modules/components/model_client/anthropic_client.html +++ b/_modules/components/model_client/anthropic_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/cohere_client.html b/_modules/components/model_client/cohere_client.html index d4c96e6c..f41e43a0 100644 --- a/_modules/components/model_client/cohere_client.html +++ b/_modules/components/model_client/cohere_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/groq_client.html b/_modules/components/model_client/groq_client.html index 39ec4f5f..269c3f62 100644 --- a/_modules/components/model_client/groq_client.html +++ b/_modules/components/model_client/groq_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/openai_client.html b/_modules/components/model_client/openai_client.html index 859e7a9e..589ecb23 100644 --- a/_modules/components/model_client/openai_client.html +++ b/_modules/components/model_client/openai_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/transformers_client.html b/_modules/components/model_client/transformers_client.html index 1bf33ca2..af13533f 100644 --- a/_modules/components/model_client/transformers_client.html +++ b/_modules/components/model_client/transformers_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/model_client/utils.html b/_modules/components/model_client/utils.html index f5ac9ee2..20deb384 100644 --- a/_modules/components/model_client/utils.html +++ b/_modules/components/model_client/utils.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/components/output_parsers/outputs.html b/_modules/components/output_parsers/outputs.html index c3de9e4b..44cbd0b2 100644 --- a/_modules/components/output_parsers/outputs.html +++ b/_modules/components/output_parsers/outputs.html @@ -29,7 +29,7 @@ - + @@ -510,7 +510,7 @@

      Source code for components.output_parsers.outputs

      -[docs] +[docs] class YamlOutputParser(OutputParser): __doc__ = r"""YAML output parser using dataclass for schema extraction. @@ -583,7 +583,7 @@

      Source code for components.output_parsers.outputs

      self.examples = examples
      -[docs] +[docs] def format_instructions( self, format_type: Optional[DataClassFormatType] = None, @@ -603,24 +603,26 @@

      Source code for components.output_parsers.outputs

      # convert example to string, convert data class to yaml string example_str = "" try: - for example in self.examples: - per_example_str = example.format_example_str( - format_type=DataClassFormatType.EXAMPLE_YAML, - exclude=self._exclude_fields, - ) - example_str += f"{per_example_str}\n________\n" - # remove the last new line - example_str = example_str[:-1] - log.debug(f"{__class__.__name__} example_str: {example_str}") - - except Exception: + if self.examples and len(self.examples) > 0: + for example in self.examples: + per_example_str = example.format_example_str( + format_type=DataClassFormatType.EXAMPLE_YAML, + exclude=self._exclude_fields, + ) + example_str += f"{per_example_str}\n________\n" + # remove the last new line + example_str = example_str[:-1] + log.debug(f"{__class__.__name__} example_str: {example_str}") + + except Exception as e: + log.error(f"Error in formatting example for {__class__.__name__}, {e}") example_str = None return self.yaml_output_format_prompt(schema=schema, example=example_str)
      -[docs] +[docs] def call(self, input: str) -> YAML_OUTPUT_PARSER_OUTPUT_TYPE: r"""Parse the YAML string to JSON object and return the JSON object.""" return self.output_processors(input)
      @@ -633,7 +635,7 @@

      Source code for components.output_parsers.outputs

      -[docs] +[docs] class JsonOutputParser(OutputParser): def __init__( self, @@ -663,7 +665,7 @@

      Source code for components.output_parsers.outputs

      # TODO: make exclude works with both
      -[docs] +[docs] def format_instructions( self, format_type: Optional[DataClassFormatType] = None, @@ -681,24 +683,25 @@

      Source code for components.output_parsers.outputs

      ) example_str = "" try: - for example in self.examples: - per_example_str = example.format_example_str( - format_type=DataClassFormatType.EXAMPLE_JSON, - exclude=self._exclude_fields, - ) - example_str += f"{per_example_str}\n________\n" - # remove the last new line - example_str = example_str[:-1] - log.debug(f"{__class__.__name__} example_str: {example_str}") - - except Exception: - log.error(f"Error in formatting example for {__class__.__name__}") + if self.examples and len(self.examples) > 0: + for example in self.examples: + per_example_str = example.format_example_str( + format_type=DataClassFormatType.EXAMPLE_JSON, + exclude=self._exclude_fields, + ) + example_str += f"{per_example_str}\n________\n" + # remove the last new line + example_str = example_str[:-1] + log.debug(f"{__class__.__name__} example_str: {example_str}") + + except Exception as e: + log.error(f"Error in formatting example for {__class__.__name__}, {e}") example_str = None return self.json_output_format_prompt(schema=schema, example=example_str)
      -[docs] +[docs] def call(self, input: str) -> Any: return self.output_processors(input)
      @@ -710,7 +713,7 @@

      Source code for components.output_parsers.outputs

      -[docs] +[docs] class ListOutputParser(OutputParser): __doc__ = r"""List output parser to parse list of objects from the string.""" @@ -720,13 +723,13 @@

      Source code for components.output_parsers.outputs

      self.output_processors = ListParser()
      -[docs] +[docs] def format_instructions(self) -> str: return self.list_output_format_prompt()
      -[docs] +[docs] def call(self, input: str) -> list: return self.output_processors(input)
      diff --git a/_modules/components/retriever/bm25_retriever.html b/_modules/components/retriever/bm25_retriever.html index 29f11414..c877f262 100644 --- a/_modules/components/retriever/bm25_retriever.html +++ b/_modules/components/retriever/bm25_retriever.html @@ -29,7 +29,7 @@ - + @@ -447,7 +447,7 @@

      Source code for components.retriever.bm25_retriever

      # TODO: move the functions in core.functional
      -[docs] +[docs] def split_text_by_word_fn(x: str) -> List[str]: x = x.lower() return x.split(" ")
      @@ -455,7 +455,7 @@

      Source code for components.retriever.bm25_retriever

      -[docs] +[docs] def split_text_by_word_fn_then_lower_tokenized(x: str) -> List[str]: tokenizer = Tokenizer() words = x.lower().split(" ") @@ -484,7 +484,7 @@

      Source code for components.retriever.bm25_retriever

      -[docs] +[docs] class BM25Retriever(Retriever[str, RetrieverStrQueryType]): __doc__ = r"""Fast Implementation of Best Matching 25 ranking function. @@ -616,7 +616,7 @@

      Source code for components.retriever.bm25_retriever

      self.build_index_from_documents(documents, document_map_func)
      -[docs] +[docs] def reset_index(self): r"""Used for both initializing and resetting the index.""" self.t2d: List[Dict[str, int]] = [] # term freuqency in each document @@ -720,7 +720,7 @@

      Source code for components.retriever.bm25_retriever

      return score.tolist()
      -[docs] +[docs] def build_index_from_documents( self, documents: RetrieverDocumentsType, @@ -748,7 +748,7 @@

      Source code for components.retriever.bm25_retriever

      -[docs] +[docs] def call( self, input: RetrieverStrQueriesType, top_k: Optional[int] = None, **kwargs ) -> RetrieverOutputType: @@ -785,7 +785,7 @@

      Source code for components.retriever.bm25_retriever

      -[docs] +[docs] def save_to_file(self, path: str): index_dict = super().to_dict() # filter out index_dict[data] that is not in self.index_keys @@ -800,7 +800,7 @@

      Source code for components.retriever.bm25_retriever

      -[docs] +[docs] @classmethod def load_from_file(cls, path: str): # create an instance of the class diff --git a/_modules/components/retriever/llm_retriever.html b/_modules/components/retriever/llm_retriever.html index 1cfcdbb4..96820f8b 100644 --- a/_modules/components/retriever/llm_retriever.html +++ b/_modules/components/retriever/llm_retriever.html @@ -29,7 +29,7 @@ - + @@ -456,7 +456,7 @@

      Source code for components.retriever.llm_retriever

      -[docs] +[docs] class LLMRetriever(Retriever[str, RetrieverStrQueryType]): __doc__ = r"""Use LLM to access the query and the documents to retrieve the top k relevant indices of the documents. @@ -498,14 +498,14 @@

      Source code for components.retriever.llm_retriever

      self.build_index_from_documents(documents, document_map_func)
      -[docs] +[docs] def reset_index(self): self.indexed = False self.total_documents = 0
      -[docs] +[docs] def build_index_from_documents( self, documents: RetrieverDocumentsType, @@ -522,7 +522,7 @@

      Source code for components.retriever.llm_retriever

      -[docs] +[docs] def call( self, input: RetrieverStrQueriesType, diff --git a/_modules/components/retriever/reranker_retriever.html b/_modules/components/retriever/reranker_retriever.html index 19e075e5..308a43f9 100644 --- a/_modules/components/retriever/reranker_retriever.html +++ b/_modules/components/retriever/reranker_retriever.html @@ -29,7 +29,7 @@ - + @@ -438,7 +438,7 @@

      Source code for components.retriever.reranker_retriever

      -[docs] +[docs] class RerankerRetriever(Retriever[str, RetrieverStrQueriesType]): __doc__ = r""" A retriever that uses a reranker model to rank the documents and retrieve the top-k documents. @@ -476,7 +476,7 @@

      Source code for components.retriever.reranker_retriever

      self.build_index_from_documents(documents, document_map_func)
      -[docs] +[docs] def reset_index(self): self.indexed = False self.documents = [] @@ -484,7 +484,7 @@

      Source code for components.retriever.reranker_retriever

      -[docs] +[docs] def build_index_from_documents( self, documents: RetrieverDocumentsType, @@ -502,7 +502,7 @@

      Source code for components.retriever.reranker_retriever

      -[docs] +[docs] def call( self, input: RetrieverStrQueriesType, top_k: Optional[int] = None ) -> RetrieverOutputType: diff --git a/_modules/core/base_data_class.html b/_modules/core/base_data_class.html index c28d1707..2128912d 100644 --- a/_modules/core/base_data_class.html +++ b/_modules/core/base_data_class.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/component.html b/_modules/core/component.html index 02024127..546149f6 100644 --- a/_modules/core/component.html +++ b/_modules/core/component.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/db.html b/_modules/core/db.html index 2ce61457..2728cef9 100644 --- a/_modules/core/db.html +++ b/_modules/core/db.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/embedder.html b/_modules/core/embedder.html index e32f8f75..52e60ba5 100644 --- a/_modules/core/embedder.html +++ b/_modules/core/embedder.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/func_tool.html b/_modules/core/func_tool.html index 8f1e39a8..e2a9bd08 100644 --- a/_modules/core/func_tool.html +++ b/_modules/core/func_tool.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/functional.html b/_modules/core/functional.html index 7b78afed..b5463133 100644 --- a/_modules/core/functional.html +++ b/_modules/core/functional.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/generator.html b/_modules/core/generator.html index ff30a9e9..c254de41 100644 --- a/_modules/core/generator.html +++ b/_modules/core/generator.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/model_client.html b/_modules/core/model_client.html index 72896836..429dc87b 100644 --- a/_modules/core/model_client.html +++ b/_modules/core/model_client.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/parameter.html b/_modules/core/parameter.html index bc771073..39e7ddfd 100644 --- a/_modules/core/parameter.html +++ b/_modules/core/parameter.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/prompt_builder.html b/_modules/core/prompt_builder.html index 48a928e3..65623b22 100644 --- a/_modules/core/prompt_builder.html +++ b/_modules/core/prompt_builder.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/retriever.html b/_modules/core/retriever.html index ced35deb..7d5a588d 100644 --- a/_modules/core/retriever.html +++ b/_modules/core/retriever.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/string_parser.html b/_modules/core/string_parser.html index 31c27481..c85f26f7 100644 --- a/_modules/core/string_parser.html +++ b/_modules/core/string_parser.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/tokenizer.html b/_modules/core/tokenizer.html index 3e4474d8..b71bbf62 100644 --- a/_modules/core/tokenizer.html +++ b/_modules/core/tokenizer.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/tool_manager.html b/_modules/core/tool_manager.html index 3219ab5c..7be0086c 100644 --- a/_modules/core/tool_manager.html +++ b/_modules/core/tool_manager.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/core/types.html b/_modules/core/types.html index 95fdc97b..32dfc16d 100644 --- a/_modules/core/types.html +++ b/_modules/core/types.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/eval/answer_match_acc.html b/_modules/eval/answer_match_acc.html index 3e3030ad..a7ef7844 100644 --- a/_modules/eval/answer_match_acc.html +++ b/_modules/eval/answer_match_acc.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/eval/llm_as_judge.html b/_modules/eval/llm_as_judge.html index 37ff5e2c..a9e1a930 100644 --- a/_modules/eval/llm_as_judge.html +++ b/_modules/eval/llm_as_judge.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/eval/retriever_recall.html b/_modules/eval/retriever_recall.html index 0f47ebc1..c9c8cb07 100644 --- a/_modules/eval/retriever_recall.html +++ b/_modules/eval/retriever_recall.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/eval/retriever_relevance.html b/_modules/eval/retriever_relevance.html index b5b7fa86..5ef6538f 100644 --- a/_modules/eval/retriever_relevance.html +++ b/_modules/eval/retriever_relevance.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/index.html b/_modules/index.html index e79e9ee5..73059596 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -29,7 +29,7 @@ - + @@ -414,8 +414,7 @@

      All modules for which code is available

      -
      • components.agent.react
      • -
      • components.data_process.data_components
      • +
        • components.data_process.data_components
        • components.data_process.text_splitter
        • components.memory.memory
        • components.model_client.anthropic_client
        • diff --git a/_modules/optim/few_shot_optimizer.html b/_modules/optim/few_shot_optimizer.html index f60fbad6..68a16587 100644 --- a/_modules/optim/few_shot_optimizer.html +++ b/_modules/optim/few_shot_optimizer.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/optim/llm_augment.html b/_modules/optim/llm_augment.html index 02c02467..3e97251c 100644 --- a/_modules/optim/llm_augment.html +++ b/_modules/optim/llm_augment.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/optim/llm_optimizer.html b/_modules/optim/llm_optimizer.html index ea96c230..24afce6d 100644 --- a/_modules/optim/llm_optimizer.html +++ b/_modules/optim/llm_optimizer.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/optim/optimizer.html b/_modules/optim/optimizer.html index 6cacc3e2..5c18441d 100644 --- a/_modules/optim/optimizer.html +++ b/_modules/optim/optimizer.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/optim/sampler.html b/_modules/optim/sampler.html index 9796d8e7..bcadf8b8 100644 --- a/_modules/optim/sampler.html +++ b/_modules/optim/sampler.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/tracing/decorators.html b/_modules/tracing/decorators.html index eeaf3f5f..21e01620 100644 --- a/_modules/tracing/decorators.html +++ b/_modules/tracing/decorators.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/tracing/generator_call_logger.html b/_modules/tracing/generator_call_logger.html index 1c7c9aa7..99a68ee7 100644 --- a/_modules/tracing/generator_call_logger.html +++ b/_modules/tracing/generator_call_logger.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/tracing/generator_state_logger.html b/_modules/tracing/generator_state_logger.html index 7632026c..72b344cc 100644 --- a/_modules/tracing/generator_state_logger.html +++ b/_modules/tracing/generator_state_logger.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/config.html b/_modules/utils/config.html index 2f546c48..b935654b 100644 --- a/_modules/utils/config.html +++ b/_modules/utils/config.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/file_io.html b/_modules/utils/file_io.html index 4f6c5e35..83fb0f98 100644 --- a/_modules/utils/file_io.html +++ b/_modules/utils/file_io.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/lazy_import.html b/_modules/utils/lazy_import.html index cb08a403..e394b4db 100644 --- a/_modules/utils/lazy_import.html +++ b/_modules/utils/lazy_import.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/logger.html b/_modules/utils/logger.html index 25ebdd87..7d7c0575 100644 --- a/_modules/utils/logger.html +++ b/_modules/utils/logger.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/registry.html b/_modules/utils/registry.html index 46b0b41c..7fdf1194 100644 --- a/_modules/utils/registry.html +++ b/_modules/utils/registry.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/serialization.html b/_modules/utils/serialization.html index 575986f1..c229f579 100644 --- a/_modules/utils/serialization.html +++ b/_modules/utils/serialization.html @@ -29,7 +29,7 @@ - + diff --git a/_modules/utils/setup_env.html b/_modules/utils/setup_env.html index bf5e3c43..6fcf4f7f 100644 --- a/_modules/utils/setup_env.html +++ b/_modules/utils/setup_env.html @@ -29,7 +29,7 @@ - + diff --git a/_sources/apis/components/None/components.agent.react.rst.txt b/_sources/apis/components/None/components.agent.react.rst.txt deleted file mode 100644 index ea75cbe1..00000000 --- a/_sources/apis/components/None/components.agent.react.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.agent.react -====================== - -.. automodule:: components.agent.react - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - ReActAgent - - - - - - - - - diff --git a/_sources/apis/components/None/components.data_process.data_components.rst.txt b/_sources/apis/components/None/components.data_process.data_components.rst.txt deleted file mode 100644 index aeab577a..00000000 --- a/_sources/apis/components/None/components.data_process.data_components.rst.txt +++ /dev/null @@ -1,36 +0,0 @@ -components.data\_process.data\_components -========================================= - -.. automodule:: components.data_process.data_components - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - retriever_output_to_context_str - - - - - - .. rubric:: Classes - - .. autosummary:: - - RetrieverOutputToContextStr - ToEmbeddings - - - - - - - - - diff --git a/_sources/apis/components/None/components.data_process.text_splitter.rst.txt b/_sources/apis/components/None/components.data_process.text_splitter.rst.txt deleted file mode 100644 index 94ca9d37..00000000 --- a/_sources/apis/components/None/components.data_process.text_splitter.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.data\_process.text\_splitter -======================================= - -.. automodule:: components.data_process.text_splitter - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - TextSplitter - - - - - - - - - diff --git a/_sources/apis/components/None/components.memory.memory.rst.txt b/_sources/apis/components/None/components.memory.memory.rst.txt deleted file mode 100644 index 434128e2..00000000 --- a/_sources/apis/components/None/components.memory.memory.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.memory.memory -======================== - -.. automodule:: components.memory.memory - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - Memory - - - - - - - - - diff --git a/_sources/apis/components/None/components.model_client.anthropic_client.rst.txt b/_sources/apis/components/None/components.model_client.anthropic_client.rst.txt deleted file mode 100644 index d33a3ba1..00000000 --- a/_sources/apis/components/None/components.model_client.anthropic_client.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.model\_client.anthropic\_client -========================================== - -.. automodule:: components.model_client.anthropic_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - AnthropicAPIClient - - - - - - - - - diff --git a/_sources/apis/components/None/components.model_client.cohere_client.rst.txt b/_sources/apis/components/None/components.model_client.cohere_client.rst.txt deleted file mode 100644 index fae4369e..00000000 --- a/_sources/apis/components/None/components.model_client.cohere_client.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.model\_client.cohere\_client -======================================= - -.. automodule:: components.model_client.cohere_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - CohereAPIClient - - - - - - - - - diff --git a/_sources/apis/components/None/components.model_client.groq_client.rst.txt b/_sources/apis/components/None/components.model_client.groq_client.rst.txt deleted file mode 100644 index 306101a9..00000000 --- a/_sources/apis/components/None/components.model_client.groq_client.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.model\_client.groq\_client -===================================== - -.. automodule:: components.model_client.groq_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - GroqAPIClient - - - - - - - - - diff --git a/_sources/apis/components/None/components.model_client.openai_client.rst.txt b/_sources/apis/components/None/components.model_client.openai_client.rst.txt deleted file mode 100644 index 9ea23544..00000000 --- a/_sources/apis/components/None/components.model_client.openai_client.rst.txt +++ /dev/null @@ -1,37 +0,0 @@ -components.model\_client.openai\_client -======================================= - -.. automodule:: components.model_client.openai_client - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - get_all_messages_content - get_first_message_content - get_probabilities - - - - - - .. rubric:: Classes - - .. autosummary:: - - OpenAIClient - - - - - - - - - diff --git a/_sources/apis/components/None/components.model_client.transformers_client.rst.txt b/_sources/apis/components/None/components.model_client.transformers_client.rst.txt deleted file mode 100644 index 45779062..00000000 --- a/_sources/apis/components/None/components.model_client.transformers_client.rst.txt +++ /dev/null @@ -1,38 +0,0 @@ -components.model\_client.transformers\_client -============================================= - -.. automodule:: components.model_client.transformers_client - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - average_pool - - - - - - .. rubric:: Classes - - .. autosummary:: - - TransformerEmbedder - TransformerLLM - TransformerReranker - TransformersClient - - - - - - - - - diff --git a/_sources/apis/components/None/components.output_parsers.outputs.rst.txt b/_sources/apis/components/None/components.output_parsers.outputs.rst.txt deleted file mode 100644 index 618ad0fd..00000000 --- a/_sources/apis/components/None/components.output_parsers.outputs.rst.txt +++ /dev/null @@ -1,33 +0,0 @@ -components.output\_parsers.outputs -================================== - -.. automodule:: components.output_parsers.outputs - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - BooleanOutputParser - JsonOutputParser - ListOutputParser - OutputParser - YamlOutputParser - - - - - - - - - diff --git a/_sources/apis/components/None/components.reasoning.chain_of_thought.rst.txt b/_sources/apis/components/None/components.reasoning.chain_of_thought.rst.txt deleted file mode 100644 index cd5d2af4..00000000 --- a/_sources/apis/components/None/components.reasoning.chain_of_thought.rst.txt +++ /dev/null @@ -1,23 +0,0 @@ -components.reasoning.chain\_of\_thought -======================================= - -.. automodule:: components.reasoning.chain_of_thought - - - - - - - - - - - - - - - - - - - diff --git a/_sources/apis/components/None/components.retriever.bm25_retriever.rst.txt b/_sources/apis/components/None/components.retriever.bm25_retriever.rst.txt deleted file mode 100644 index e6de69ed..00000000 --- a/_sources/apis/components/None/components.retriever.bm25_retriever.rst.txt +++ /dev/null @@ -1,37 +0,0 @@ -components.retriever.bm25\_retriever -==================================== - -.. automodule:: components.retriever.bm25_retriever - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - split_text_by_word_fn - split_text_by_word_fn_then_lower_tokenized - split_text_tokenized - - - - - - .. rubric:: Classes - - .. autosummary:: - - BM25Retriever - - - - - - - - - diff --git a/_sources/apis/components/None/components.retriever.llm_retriever.rst.txt b/_sources/apis/components/None/components.retriever.llm_retriever.rst.txt deleted file mode 100644 index d34209d5..00000000 --- a/_sources/apis/components/None/components.retriever.llm_retriever.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.retriever.llm\_retriever -=================================== - -.. automodule:: components.retriever.llm_retriever - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - LLMRetriever - - - - - - - - - diff --git a/_sources/apis/components/None/components.retriever.reranker_retriever.rst.txt b/_sources/apis/components/None/components.retriever.reranker_retriever.rst.txt deleted file mode 100644 index 24370bff..00000000 --- a/_sources/apis/components/None/components.retriever.reranker_retriever.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -components.retriever.reranker\_retriever -======================================== - -.. automodule:: components.retriever.reranker_retriever - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - RerankerRetriever - - - - - - - - - diff --git a/_sources/apis/components/_autosummary/components.agent.react.rst.txt b/_sources/apis/components/_autosummary/components.agent.react.rst.txt index ea75cbe1..a2b2e5d6 100644 --- a/_sources/apis/components/_autosummary/components.agent.react.rst.txt +++ b/_sources/apis/components/_autosummary/components.agent.react.rst.txt @@ -1,29 +1,22 @@ -components.agent.react +.. _components-agent-react: + +react ====================== .. automodule:: components.agent.react - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - ReActAgent - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + ReActAgent diff --git a/_sources/apis/components/_autosummary/components.api_client.anthropic_client.rst.txt b/_sources/apis/components/_autosummary/components.api_client.anthropic_client.rst.txt deleted file mode 100644 index 31e030aa..00000000 --- a/_sources/apis/components/_autosummary/components.api_client.anthropic_client.rst.txt +++ /dev/null @@ -1,22 +0,0 @@ -.. _components-api_client-anthropic_client: - -components.api\_client.anthropic\_client -======================================== - -.. automodule:: components.api_client.anthropic_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - AnthropicAPIClient diff --git a/_sources/apis/components/_autosummary/components.api_client.google_client.rst.txt b/_sources/apis/components/_autosummary/components.api_client.google_client.rst.txt deleted file mode 100644 index 8da90bc6..00000000 --- a/_sources/apis/components/_autosummary/components.api_client.google_client.rst.txt +++ /dev/null @@ -1,22 +0,0 @@ -.. _components-api_client-google_client: - -components.api\_client.google\_client -===================================== - -.. automodule:: components.api_client.google_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - GoogleGenAIClient diff --git a/_sources/apis/components/_autosummary/components.api_client.groq_client.rst.txt b/_sources/apis/components/_autosummary/components.api_client.groq_client.rst.txt deleted file mode 100644 index ccaab3bd..00000000 --- a/_sources/apis/components/_autosummary/components.api_client.groq_client.rst.txt +++ /dev/null @@ -1,22 +0,0 @@ -.. _components-api_client-groq_client: - -components.api\_client.groq\_client -=================================== - -.. automodule:: components.api_client.groq_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - GroqAPIClient diff --git a/_sources/apis/components/_autosummary/components.api_client.openai_client.rst.txt b/_sources/apis/components/_autosummary/components.api_client.openai_client.rst.txt deleted file mode 100644 index 4c14edec..00000000 --- a/_sources/apis/components/_autosummary/components.api_client.openai_client.rst.txt +++ /dev/null @@ -1,22 +0,0 @@ -.. _components-api_client-openai_client: - -components.api\_client.openai\_client -===================================== - -.. automodule:: components.api_client.openai_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - OpenAIClient diff --git a/_sources/apis/components/_autosummary/components.api_client.transformers_client.rst.txt b/_sources/apis/components/_autosummary/components.api_client.transformers_client.rst.txt deleted file mode 100644 index 0398fa6f..00000000 --- a/_sources/apis/components/_autosummary/components.api_client.transformers_client.rst.txt +++ /dev/null @@ -1,29 +0,0 @@ -.. _components-api_client-transformers_client: - -components.api\_client.transformers\_client -=========================================== - -.. automodule:: components.api_client.transformers_client - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - average_pool - - - - - - .. rubric:: Classes - - .. autosummary:: - - TransformerEmbedder - TransformersClient diff --git a/_sources/apis/components/_autosummary/components.data_process.data_components.rst.txt b/_sources/apis/components/_autosummary/components.data_process.data_components.rst.txt index aeab577a..4ce6e0f7 100644 --- a/_sources/apis/components/_autosummary/components.data_process.data_components.rst.txt +++ b/_sources/apis/components/_autosummary/components.data_process.data_components.rst.txt @@ -1,36 +1,29 @@ -components.data\_process.data\_components +.. _components-data_process-data_components: + +data_components ========================================= .. automodule:: components.data_process.data_components - - - - - + + + + + .. rubric:: Functions .. autosummary:: - + retriever_output_to_context_str - - - - - .. rubric:: Classes - .. autosummary:: - - RetrieverOutputToContextStr - ToEmbeddings - - - - - + .. rubric:: Classes + + .. autosummary:: + RetrieverOutputToContextStr + ToEmbeddings diff --git a/_sources/apis/components/_autosummary/components.data_process.document_splitter.rst.txt b/_sources/apis/components/_autosummary/components.data_process.document_splitter.rst.txt deleted file mode 100644 index 205e73fc..00000000 --- a/_sources/apis/components/_autosummary/components.data_process.document_splitter.rst.txt +++ /dev/null @@ -1,28 +0,0 @@ -.. _components-data_process-document_splitter: - -components.data\_process.document\_splitter -=========================================== - -.. automodule:: components.data_process.document_splitter - - - - - - - - .. rubric:: Functions - - .. autosummary:: - - split_text_by_token_fn - - - - - - .. rubric:: Classes - - .. autosummary:: - - DocumentSplitter diff --git a/_sources/apis/components/_autosummary/components.data_process.text_splitter.rst.txt b/_sources/apis/components/_autosummary/components.data_process.text_splitter.rst.txt index 94ca9d37..20b75323 100644 --- a/_sources/apis/components/_autosummary/components.data_process.text_splitter.rst.txt +++ b/_sources/apis/components/_autosummary/components.data_process.text_splitter.rst.txt @@ -1,29 +1,22 @@ -components.data\_process.text\_splitter +.. _components-data_process-text_splitter: + +text_splitter ======================================= .. automodule:: components.data_process.text_splitter - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - TextSplitter - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + TextSplitter diff --git a/_sources/apis/components/_autosummary/components.memory.memory.rst.txt b/_sources/apis/components/_autosummary/components.memory.memory.rst.txt index 434128e2..7cbd4143 100644 --- a/_sources/apis/components/_autosummary/components.memory.memory.rst.txt +++ b/_sources/apis/components/_autosummary/components.memory.memory.rst.txt @@ -1,29 +1,22 @@ -components.memory.memory +.. _components-memory-memory: + +memory ======================== .. automodule:: components.memory.memory - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - Memory - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + Memory diff --git a/_sources/apis/components/_autosummary/components.model_client.anthropic_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.anthropic_client.rst.txt index d33a3ba1..61c84d05 100644 --- a/_sources/apis/components/_autosummary/components.model_client.anthropic_client.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.anthropic_client.rst.txt @@ -1,29 +1,22 @@ -components.model\_client.anthropic\_client +.. _components-model_client-anthropic_client: + +anthropic_client ========================================== .. automodule:: components.model_client.anthropic_client - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - AnthropicAPIClient - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + AnthropicAPIClient diff --git a/_sources/apis/components/_autosummary/components.model_client.cohere_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.cohere_client.rst.txt index fae4369e..73263e7d 100644 --- a/_sources/apis/components/_autosummary/components.model_client.cohere_client.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.cohere_client.rst.txt @@ -1,29 +1,22 @@ -components.model\_client.cohere\_client +.. _components-model_client-cohere_client: + +cohere_client ======================================= .. automodule:: components.model_client.cohere_client - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - CohereAPIClient - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + CohereAPIClient diff --git a/_sources/apis/components/_autosummary/components.model_client.google_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.google_client.rst.txt deleted file mode 100644 index 744dc3bc..00000000 --- a/_sources/apis/components/_autosummary/components.model_client.google_client.rst.txt +++ /dev/null @@ -1,22 +0,0 @@ -.. _components-model_client-google_client: - -components.model\_client.google\_client -======================================= - -.. automodule:: components.model_client.google_client - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - GoogleGenAIClient diff --git a/_sources/apis/components/_autosummary/components.model_client.groq_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.groq_client.rst.txt index 306101a9..789c0e73 100644 --- a/_sources/apis/components/_autosummary/components.model_client.groq_client.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.groq_client.rst.txt @@ -1,29 +1,22 @@ -components.model\_client.groq\_client +.. _components-model_client-groq_client: + +groq_client ===================================== .. automodule:: components.model_client.groq_client - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - GroqAPIClient - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + GroqAPIClient diff --git a/_sources/apis/components/_autosummary/components.model_client.openai_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.openai_client.rst.txt index 9ea23544..ae941be4 100644 --- a/_sources/apis/components/_autosummary/components.model_client.openai_client.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.openai_client.rst.txt @@ -1,37 +1,30 @@ -components.model\_client.openai\_client +.. _components-model_client-openai_client: + +openai_client ======================================= .. automodule:: components.model_client.openai_client - - - - - + + + + + .. rubric:: Functions .. autosummary:: - + get_all_messages_content get_first_message_content get_probabilities - - - - - .. rubric:: Classes - .. autosummary:: - - OpenAIClient - - - - - + .. rubric:: Classes + .. autosummary:: + + OpenAIClient diff --git a/_sources/apis/components/_autosummary/components.model_client.transformers_client.rst.txt b/_sources/apis/components/_autosummary/components.model_client.transformers_client.rst.txt index 45779062..6311637b 100644 --- a/_sources/apis/components/_autosummary/components.model_client.transformers_client.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.transformers_client.rst.txt @@ -1,38 +1,31 @@ -components.model\_client.transformers\_client +.. _components-model_client-transformers_client: + +transformers_client ============================================= .. automodule:: components.model_client.transformers_client - - - - - + + + + + .. rubric:: Functions .. autosummary:: - + average_pool - - - - + + + + .. rubric:: Classes .. autosummary:: - + TransformerEmbedder TransformerLLM TransformerReranker TransformersClient - - - - - - - - - diff --git a/_sources/apis/components/_autosummary/components.model_client.utils.rst.txt b/_sources/apis/components/_autosummary/components.model_client.utils.rst.txt index e4eead09..55b7bb50 100644 --- a/_sources/apis/components/_autosummary/components.model_client.utils.rst.txt +++ b/_sources/apis/components/_autosummary/components.model_client.utils.rst.txt @@ -1,29 +1,18 @@ -components.model\_client.utils +.. _components-model_client-utils: + +utils ============================== .. automodule:: components.model_client.utils - - - - - - .. rubric:: Functions - .. autosummary:: - - parse_embedding_response - - - - - - - - + .. rubric:: Functions + + .. autosummary:: + parse_embedding_response diff --git a/_sources/apis/components/_autosummary/components.output_parsers.outputs.rst.txt b/_sources/apis/components/_autosummary/components.output_parsers.outputs.rst.txt index 618ad0fd..29de8634 100644 --- a/_sources/apis/components/_autosummary/components.output_parsers.outputs.rst.txt +++ b/_sources/apis/components/_autosummary/components.output_parsers.outputs.rst.txt @@ -1,33 +1,26 @@ -components.output\_parsers.outputs +.. _components-output_parsers-outputs: + +outputs ================================== .. automodule:: components.output_parsers.outputs - - - - - - - - + + + + + + + + .. rubric:: Classes .. autosummary:: - + BooleanOutputParser JsonOutputParser ListOutputParser OutputParser YamlOutputParser - - - - - - - - - diff --git a/_sources/apis/components/_autosummary/components.reasoning.chain_of_thought.rst.txt b/_sources/apis/components/_autosummary/components.reasoning.chain_of_thought.rst.txt index cd5d2af4..4ec1269c 100644 --- a/_sources/apis/components/_autosummary/components.reasoning.chain_of_thought.rst.txt +++ b/_sources/apis/components/_autosummary/components.reasoning.chain_of_thought.rst.txt @@ -1,23 +1,6 @@ -components.reasoning.chain\_of\_thought +.. _components-reasoning-chain_of_thought: + +chain_of_thought ======================================= .. automodule:: components.reasoning.chain_of_thought - - - - - - - - - - - - - - - - - - - diff --git a/_sources/apis/components/_autosummary/components.retriever.bm25_retriever.rst.txt b/_sources/apis/components/_autosummary/components.retriever.bm25_retriever.rst.txt index e6de69ed..dcff5d44 100644 --- a/_sources/apis/components/_autosummary/components.retriever.bm25_retriever.rst.txt +++ b/_sources/apis/components/_autosummary/components.retriever.bm25_retriever.rst.txt @@ -1,37 +1,30 @@ -components.retriever.bm25\_retriever +.. _components-retriever-bm25_retriever: + +bm25_retriever ==================================== .. automodule:: components.retriever.bm25_retriever - - - - - + + + + + .. rubric:: Functions .. autosummary:: - + split_text_by_word_fn split_text_by_word_fn_then_lower_tokenized split_text_tokenized - - - - - .. rubric:: Classes - .. autosummary:: - - BM25Retriever - - - - - + .. rubric:: Classes + .. autosummary:: + + BM25Retriever diff --git a/_sources/apis/components/_autosummary/components.retriever.faiss_retriever.rst.txt b/_sources/apis/components/_autosummary/components.retriever.faiss_retriever.rst.txt index 590e4b93..2f972f21 100644 --- a/_sources/apis/components/_autosummary/components.retriever.faiss_retriever.rst.txt +++ b/_sources/apis/components/_autosummary/components.retriever.faiss_retriever.rst.txt @@ -1,6 +1,6 @@ .. _components-retriever-faiss_retriever: -components.retriever.faiss\_retriever +faiss_retriever ===================================== .. automodule:: components.retriever.faiss_retriever diff --git a/_sources/apis/components/_autosummary/components.retriever.llm_retriever.rst.txt b/_sources/apis/components/_autosummary/components.retriever.llm_retriever.rst.txt index d34209d5..b5acd12c 100644 --- a/_sources/apis/components/_autosummary/components.retriever.llm_retriever.rst.txt +++ b/_sources/apis/components/_autosummary/components.retriever.llm_retriever.rst.txt @@ -1,29 +1,22 @@ -components.retriever.llm\_retriever +.. _components-retriever-llm_retriever: + +llm_retriever =================================== .. automodule:: components.retriever.llm_retriever - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - LLMRetriever - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + LLMRetriever diff --git a/_sources/apis/components/_autosummary/components.retriever.postgres_retriever.rst.txt b/_sources/apis/components/_autosummary/components.retriever.postgres_retriever.rst.txt deleted file mode 100644 index 6a844203..00000000 --- a/_sources/apis/components/_autosummary/components.retriever.postgres_retriever.rst.txt +++ /dev/null @@ -1,23 +0,0 @@ -.. _components-retriever-postgres_retriever: - -components.retriever.postgres\_retriever -======================================== - -.. automodule:: components.retriever.postgres_retriever - - - - - - - - - - - - .. rubric:: Classes - - .. autosummary:: - - DistanceToOperator - PostgresRetriever diff --git a/_sources/apis/components/_autosummary/components.retriever.reranker_retriever.rst.txt b/_sources/apis/components/_autosummary/components.retriever.reranker_retriever.rst.txt index 24370bff..4acf28a7 100644 --- a/_sources/apis/components/_autosummary/components.retriever.reranker_retriever.rst.txt +++ b/_sources/apis/components/_autosummary/components.retriever.reranker_retriever.rst.txt @@ -1,29 +1,22 @@ -components.retriever.reranker\_retriever +.. _components-retriever-reranker_retriever: + +reranker_retriever ======================================== .. automodule:: components.retriever.reranker_retriever - - - - - - - - - .. rubric:: Classes - .. autosummary:: - - RerankerRetriever - - - - - + + + + .. rubric:: Classes + + .. autosummary:: + + RerankerRetriever diff --git a/_sources/apis/components/agent_prompt.rst.txt b/_sources/apis/components/agent_prompt.rst.txt deleted file mode 100644 index 5432c912..00000000 --- a/_sources/apis/components/agent_prompt.rst.txt +++ /dev/null @@ -1,71 +0,0 @@ -.. _agent_prompt: - -.. _DEFAULT_REACT_AGENT_SYSTEM_PROMPT: - -DEFAULT_REACT_AGENT_SYSTEM_PROMPT ----------------------------------- - -This is the default prompt used by the system to interact with the agents. It contains the following structure: - -.. code-block:: python - - DEFAULT_REACT_AGENT_SYSTEM_PROMPT = r""" - {# role/task description #} - You task is to answer user's query with minimum steps and maximum accuracy using the tools provided. - {# REACT instructions #} - Each step you will read the previous Thought, Action, and Observation(execution result of the action)steps and then provide the next Thought and Action. - - You only have access to the following tools: - {# tools #} - {% for tool in tools %} - {{ loop.index }}. ToolName: {{ tool.metadata.name }} - Tool Description: {{ tool.metadata.description }} - Tool Parameters: {{ tool.metadata.fn_schema_str }} {#tool args can be misleading, especially if we already have type hints and docstring in the function#} - {% endfor %} - {# output is always more robust to use json than string #} - --- - Your output must be in valid JSON format(raw Python string format) with two keys: - { - "thought": "", - "action": "ToolName(, )" - } - - Must double quote the JSON str. - - Inside of the JSON str, Must use escape double quote and escape backslash for string. - For example: - "action": "finish(\"John's.\")" - --- - {# Specifications TODO: preference between the usage of llm tool vs the other tool #} - Process: - - Step 1: Read the user query and potentially divide it into subqueries. And get started with the first subquery. - - Call one available tool at a time to solve each subquery/subquestion. \ - - At step 'finish', join all subqueries answers and finish the task. - Remember: - - Action must call one of the above tools with Took Name. It can not be empty. - - Read the Tool Description and ensure your args and kwarg follow what each tool expects in types. e.g. (a=1, b=2) if it is keyword argument or (1, 2) if it is positional. - - You will always end with 'finish' action to finish the task. The answer can be the final answer or failure message. - - When the initial query is simple, use minimum steps to answer the query. - {#Examples can be here#} - {# Check if there are any examples #} - {% if examples %} - - {% for example in examples %} - {{ example }} - {% endfor %} - - {% endif %} - <> - ----------------- - {# History #} - {% for history in step_history %} - Step {{history.step}}: - { - "thought": "{{history.thought}}", - "action": "{{history.action}}", - } - "observation": "{{history.observation}}" - {% endfor %} - {% if input_str %} - User query: - {{ input_str }} - {% endif %} - """ \ No newline at end of file diff --git a/_sources/apis/components/components.agent.rst.txt b/_sources/apis/components/components.agent.rst.txt index fde2b8a2..9e2fdcc7 100644 --- a/_sources/apis/components/components.agent.rst.txt +++ b/_sources/apis/components/components.agent.rst.txt @@ -3,8 +3,9 @@ agent ======================== -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -12,16 +13,9 @@ Submodules components.agent.react - -.. toctree:: - :maxdepth: 4 - - components.agent.react - - --------------- -.. automodule:: components.agent - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.agent diff --git a/_sources/apis/components/components.data_process.document_splitter.rst.txt b/_sources/apis/components/components.data_process.document_splitter.rst.txt deleted file mode 100644 index 06832c3a..00000000 --- a/_sources/apis/components/components.data_process.document_splitter.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _components-data_process-document_splitter: - -document\_splitter -================================================== - -.. automodule:: components.data_process.document_splitter - :members: - :undoc-members: - :show-inheritance: diff --git a/_sources/apis/components/components.data_process.rst.txt b/_sources/apis/components/components.data_process.rst.txt index 72ff7ae3..19875935 100644 --- a/_sources/apis/components/components.data_process.rst.txt +++ b/_sources/apis/components/components.data_process.rst.txt @@ -1,10 +1,11 @@ .. _components-data_process: -data\_process +data_process ================================ -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -14,17 +15,9 @@ Submodules components.data_process.text_splitter - -.. toctree:: - :maxdepth: 4 - - components.data_process.data_components - components.data_process.text_splitter - - --------------- -.. automodule:: components.data_process - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.data_process diff --git a/_sources/apis/components/components.memory.rst.txt b/_sources/apis/components/components.memory.rst.txt index 68fef512..4849cae4 100644 --- a/_sources/apis/components/components.memory.rst.txt +++ b/_sources/apis/components/components.memory.rst.txt @@ -3,8 +3,9 @@ memory ========================= -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -12,16 +13,9 @@ Submodules components.memory.memory - -.. toctree:: - :maxdepth: 4 - - components.memory.memory - - --------------- -.. automodule:: components.memory - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.memory diff --git a/_sources/apis/components/components.model_client.rst.txt b/_sources/apis/components/components.model_client.rst.txt index 57c78622..02644f25 100644 --- a/_sources/apis/components/components.model_client.rst.txt +++ b/_sources/apis/components/components.model_client.rst.txt @@ -1,10 +1,11 @@ .. _components-model_client: -model\_client +model_client ================================ -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -24,22 +25,9 @@ Submodules components.model_client.utils - -.. toctree:: - :maxdepth: 4 - - components.model_client.anthropic_client - components.model_client.cohere_client - components.model_client.google_client - components.model_client.groq_client - components.model_client.openai_client - components.model_client.transformers_client - components.model_client.utils - - --------------- -.. automodule:: components.model_client - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.model_client diff --git a/_sources/apis/components/components.output_parsers.rst.txt b/_sources/apis/components/components.output_parsers.rst.txt index 2810e80c..12240889 100644 --- a/_sources/apis/components/components.output_parsers.rst.txt +++ b/_sources/apis/components/components.output_parsers.rst.txt @@ -1,10 +1,11 @@ .. _components-output_parsers: -output\_parsers +output_parsers ================================== -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -12,16 +13,9 @@ Submodules components.output_parsers.outputs - -.. toctree:: - :maxdepth: 4 - - components.output_parsers.outputs - - --------------- -.. automodule:: components.output_parsers - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.output_parsers diff --git a/_sources/apis/components/components.reasoning.rst.txt b/_sources/apis/components/components.reasoning.rst.txt index b17e5112..d53839c9 100644 --- a/_sources/apis/components/components.reasoning.rst.txt +++ b/_sources/apis/components/components.reasoning.rst.txt @@ -3,8 +3,9 @@ reasoning ============================ -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -12,16 +13,9 @@ Submodules components.reasoning.chain_of_thought - -.. toctree:: - :maxdepth: 4 - - components.reasoning.chain_of_thought - - --------------- -.. automodule:: components.reasoning - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.reasoning diff --git a/_sources/apis/components/components.retriever.rst.txt b/_sources/apis/components/components.retriever.rst.txt index 27c507de..58e64386 100644 --- a/_sources/apis/components/components.retriever.rst.txt +++ b/_sources/apis/components/components.retriever.rst.txt @@ -3,8 +3,9 @@ retriever ============================ -Submodules +Overview ---------- + .. autosummary:: :toctree: _autosummary @@ -20,20 +21,9 @@ Submodules components.retriever.reranker_retriever - -.. toctree:: - :maxdepth: 4 - - components.retriever.bm25_retriever - components.retriever.faiss_retriever - components.retriever.llm_retriever - components.retriever.postgres_retriever - components.retriever.reranker_retriever - - --------------- -.. automodule:: components.retriever - :members: - :undoc-members: - :show-inheritance: +.. autosummary:: + :toctree: _autosummary + + components.retriever diff --git a/_sources/apis/components/index.rst.txt b/_sources/apis/components/index.rst.txt index 25ba56d9..2f414ef4 100644 --- a/_sources/apis/components/index.rst.txt +++ b/_sources/apis/components/index.rst.txt @@ -88,4 +88,4 @@ Reasoning components.agent components.data_process components.reasoning - components.memory \ No newline at end of file + components.memory diff --git a/_sources/apis/core/core.base_data_class.rst.txt b/_sources/apis/core/core.base_data_class.rst.txt index 30fbfd14..6560da5b 100644 --- a/_sources/apis/core/core.base_data_class.rst.txt +++ b/_sources/apis/core/core.base_data_class.rst.txt @@ -1,6 +1,6 @@ .. _core-base_data_class: -base\_data\_class +base_data_class ============================= .. automodule:: core.base_data_class diff --git a/_sources/apis/core/core.data_components.rst.txt b/_sources/apis/core/core.data_components.rst.txt deleted file mode 100644 index f3deeb8a..00000000 --- a/_sources/apis/core/core.data_components.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _core-data_components: - -data\_components -============================ - -.. automodule:: core.data_components - :members: - :undoc-members: - :show-inheritance: diff --git a/_sources/apis/core/core.default_prompt_template.rst.txt b/_sources/apis/core/core.default_prompt_template.rst.txt index 522ad037..7dc92b03 100644 --- a/_sources/apis/core/core.default_prompt_template.rst.txt +++ b/_sources/apis/core/core.default_prompt_template.rst.txt @@ -1,6 +1,6 @@ .. _core-default_prompt_template: -default\_prompt\_template +default_prompt_template ===================================== .. automodule:: core.default_prompt_template diff --git a/_sources/apis/core/core.document_splitter.rst.txt b/_sources/apis/core/core.document_splitter.rst.txt deleted file mode 100644 index 77672d83..00000000 --- a/_sources/apis/core/core.document_splitter.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _core-document_splitter: - -document\_splitter -============================== - -.. automodule:: core.document_splitter - :members: - :undoc-members: - :show-inheritance: diff --git a/_sources/apis/core/core.func_tool.rst.txt b/_sources/apis/core/core.func_tool.rst.txt index f8ab69fc..90707294 100644 --- a/_sources/apis/core/core.func_tool.rst.txt +++ b/_sources/apis/core/core.func_tool.rst.txt @@ -1,6 +1,6 @@ .. _core-func_tool: -func\_tool +func_tool ====================== .. automodule:: core.func_tool diff --git a/_sources/apis/core/core.memory.rst.txt b/_sources/apis/core/core.memory.rst.txt deleted file mode 100644 index 00e3de26..00000000 --- a/_sources/apis/core/core.memory.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _core-memory: - -memory -================== - -.. automodule:: core.memory - :members: - :undoc-members: - :show-inheritance: diff --git a/_sources/apis/core/core.model_client.rst.txt b/_sources/apis/core/core.model_client.rst.txt index 4a61fd5e..5029f6e6 100644 --- a/_sources/apis/core/core.model_client.rst.txt +++ b/_sources/apis/core/core.model_client.rst.txt @@ -1,6 +1,6 @@ .. _core-model_client: -model\_client +model_client ========================= .. automodule:: core.model_client diff --git a/_sources/apis/core/core.prompt_builder.rst.txt b/_sources/apis/core/core.prompt_builder.rst.txt index 26c80b01..8545afa9 100644 --- a/_sources/apis/core/core.prompt_builder.rst.txt +++ b/_sources/apis/core/core.prompt_builder.rst.txt @@ -1,6 +1,6 @@ .. _core-prompt_builder: -prompt\_builder +prompt_builder =========================== .. automodule:: core.prompt_builder diff --git a/_sources/apis/core/core.string_parser.rst.txt b/_sources/apis/core/core.string_parser.rst.txt index 14d2a06e..3553cd59 100644 --- a/_sources/apis/core/core.string_parser.rst.txt +++ b/_sources/apis/core/core.string_parser.rst.txt @@ -1,6 +1,6 @@ .. _core-string_parser: -string\_parser +string_parser ========================== .. automodule:: core.string_parser diff --git a/_sources/apis/core/core.tool_manager.rst.txt b/_sources/apis/core/core.tool_manager.rst.txt index 997401a8..501c3630 100644 --- a/_sources/apis/core/core.tool_manager.rst.txt +++ b/_sources/apis/core/core.tool_manager.rst.txt @@ -1,6 +1,6 @@ .. _core-tool_manager: -tool\_manager +tool_manager ========================= .. automodule:: core.tool_manager diff --git a/_sources/apis/core/index.rst.txt b/_sources/apis/core/index.rst.txt index c9f7399b..5a929d47 100644 --- a/_sources/apis/core/index.rst.txt +++ b/_sources/apis/core/index.rst.txt @@ -3,7 +3,10 @@ Core =================== -The core section of the LightRAG API documentation provides detailed information about the foundational components of the LightRAG system. These components are essential for the basic operations and serve as the building blocks for higher-level functionalities. +.. The core section of the LightRAG API documentation provides detailed information about the foundational components of the LightRAG system. These components are essential for the basic operations and serve as the building blocks for higher-level functionalities. + +Core building blocks for RAG and more advanced functionalities, such as agents. + Overview ---------- @@ -11,91 +14,41 @@ Overview core.base_data_class core.component - core.db core.default_prompt_template core.embedder - core.functional core.generator - core.memory core.model_client - core.parameter core.prompt_builder core.retriever core.string_parser - core.tokenizer core.func_tool core.tool_manager core.types + core.db + core.functional + core.parameter + core.tokenizer -Model Client ---------------- -.. toctree:: - :maxdepth: 1 - - core.model_client - -Component --------------- -.. toctree:: - :maxdepth: 1 - core.component -Data Handling -------------- .. toctree:: :maxdepth: 1 + :hidden: core.base_data_class - core.types - - core.db - -Prompts and Templates ---------------------- -.. toctree:: - :maxdepth: 1 - + core.component core.default_prompt_template - core.prompt_builder - -.. Document Processing -.. ------------------- -.. .. toctree:: -.. :maxdepth: 1 - - .. core.document_splitter - core.text_splitter - -Embedding and Retrieval ------------------------ -.. toctree:: - :maxdepth: 1 - core.embedder - core.retriever - -Generation and Utilities ------------------------- -.. toctree:: - :maxdepth: 1 - core.generator - core.functional - core.memory - ------------------------- -.. toctree:: - :maxdepth: 1 - + core.model_client + core.prompt_builder + core.retriever core.string_parser - core.tokenizer core.func_tool - -Parameters ------------------------- -.. toctree:: - :maxdepth: 1 - + core.tool_manager + core.types + core.db + core.functional core.parameter + core.tokenizer diff --git a/_sources/apis/eval/eval.answer_match_acc.rst.txt b/_sources/apis/eval/eval.answer_match_acc.rst.txt index b6a0e05b..8d16f6fe 100644 --- a/_sources/apis/eval/eval.answer_match_acc.rst.txt +++ b/_sources/apis/eval/eval.answer_match_acc.rst.txt @@ -1,6 +1,6 @@ .. _eval-answer_match_acc: -answer\_match\_acc +answer_match_acc ============================== .. automodule:: eval.answer_match_acc diff --git a/_sources/apis/eval/eval.evaluators.rst.txt b/_sources/apis/eval/eval.evaluators.rst.txt index ac0de161..76e0225b 100644 --- a/_sources/apis/eval/eval.evaluators.rst.txt +++ b/_sources/apis/eval/eval.evaluators.rst.txt @@ -1,4 +1,4 @@ -.. _eval-evaluators: +_eval-evaluators: evaluators ====================== diff --git a/_sources/apis/eval/eval.llm_as_judge.rst.txt b/_sources/apis/eval/eval.llm_as_judge.rst.txt index 77774ed3..1c4c426e 100644 --- a/_sources/apis/eval/eval.llm_as_judge.rst.txt +++ b/_sources/apis/eval/eval.llm_as_judge.rst.txt @@ -1,6 +1,6 @@ .. _eval-llm_as_judge: -llm\_as\_judge +llm_as_judge ========================== .. automodule:: eval.llm_as_judge diff --git a/_sources/apis/eval/eval.retriever_recall.rst.txt b/_sources/apis/eval/eval.retriever_recall.rst.txt index 1eade14a..c087d08f 100644 --- a/_sources/apis/eval/eval.retriever_recall.rst.txt +++ b/_sources/apis/eval/eval.retriever_recall.rst.txt @@ -1,6 +1,6 @@ .. _eval-retriever_recall: -retriever\_recall +retriever_recall ============================= .. automodule:: eval.retriever_recall diff --git a/_sources/apis/eval/eval.retriever_relevance.rst.txt b/_sources/apis/eval/eval.retriever_relevance.rst.txt index bd2c721b..c7af1274 100644 --- a/_sources/apis/eval/eval.retriever_relevance.rst.txt +++ b/_sources/apis/eval/eval.retriever_relevance.rst.txt @@ -1,6 +1,6 @@ .. _eval-retriever_relevance: -retriever\_relevance +retriever_relevance ================================ .. automodule:: eval.retriever_relevance diff --git a/_sources/apis/eval/index.rst.txt b/_sources/apis/eval/index.rst.txt index d3b09e39..afe06e45 100644 --- a/_sources/apis/eval/index.rst.txt +++ b/_sources/apis/eval/index.rst.txt @@ -12,10 +12,10 @@ Overview eval.retriever_relevance eval.llm_as_judge -Evaluator ----------- + .. toctree:: :maxdepth: 1 + :hidden: eval.answer_match_acc eval.retriever_recall diff --git a/_sources/apis/optim/optim.few_shot_optimizer.rst.txt b/_sources/apis/optim/optim.few_shot_optimizer.rst.txt index d411e628..18cc2e3e 100644 --- a/_sources/apis/optim/optim.few_shot_optimizer.rst.txt +++ b/_sources/apis/optim/optim.few_shot_optimizer.rst.txt @@ -1,6 +1,6 @@ .. _optim-few_shot_optimizer: -few\_shot\_optimizer +few_shot_optimizer ================================= .. automodule:: optim.few_shot_optimizer diff --git a/_sources/apis/optim/optim.llm_augment.rst.txt b/_sources/apis/optim/optim.llm_augment.rst.txt index 44ff64d7..f3626278 100644 --- a/_sources/apis/optim/optim.llm_augment.rst.txt +++ b/_sources/apis/optim/optim.llm_augment.rst.txt @@ -1,6 +1,6 @@ .. _optim-llm_augment: -llm\_augment +llm_augment ========================= .. automodule:: optim.llm_augment diff --git a/_sources/apis/optim/optim.llm_optimizer.rst.txt b/_sources/apis/optim/optim.llm_optimizer.rst.txt index 8c27727a..08ee2cc8 100644 --- a/_sources/apis/optim/optim.llm_optimizer.rst.txt +++ b/_sources/apis/optim/optim.llm_optimizer.rst.txt @@ -1,6 +1,6 @@ .. _optim-llm_optimizer: -llm\_optimizer +llm_optimizer =========================== .. automodule:: optim.llm_optimizer diff --git a/_sources/apis/tracing/index.rst.txt b/_sources/apis/tracing/index.rst.txt index 7a266ecd..13f7add5 100644 --- a/_sources/apis/tracing/index.rst.txt +++ b/_sources/apis/tracing/index.rst.txt @@ -11,17 +11,11 @@ Overview tracing.generator_state_logger tracing.generator_call_logger -Decorators --------------- -.. toctree:: - :maxdepth: 1 - tracing.decorators - -Loggers --------------- .. toctree:: :maxdepth: 1 + :hidden: + tracing.decorators tracing.generator_state_logger tracing.generator_call_logger diff --git a/_sources/apis/tracing/tracing.generator_call_logger.rst.txt b/_sources/apis/tracing/tracing.generator_call_logger.rst.txt index 80578c48..bb546cc4 100644 --- a/_sources/apis/tracing/tracing.generator_call_logger.rst.txt +++ b/_sources/apis/tracing/tracing.generator_call_logger.rst.txt @@ -1,6 +1,6 @@ .. _tracing-generator_call_logger: -generator\_call\_logger +generator_call_logger ====================================== .. automodule:: tracing.generator_call_logger diff --git a/_sources/apis/tracing/tracing.generator_state_logger.rst.txt b/_sources/apis/tracing/tracing.generator_state_logger.rst.txt index 4a2bfa34..e0f1caed 100644 --- a/_sources/apis/tracing/tracing.generator_state_logger.rst.txt +++ b/_sources/apis/tracing/tracing.generator_state_logger.rst.txt @@ -1,6 +1,6 @@ .. _tracing-generator_state_logger: -generator\_state\_logger +generator_state_logger ======================================= .. automodule:: tracing.generator_state_logger diff --git a/_sources/apis/utils/index.rst.txt b/_sources/apis/utils/index.rst.txt index fb339773..728a7338 100644 --- a/_sources/apis/utils/index.rst.txt +++ b/_sources/apis/utils/index.rst.txt @@ -12,24 +12,15 @@ Overview utils.config utils.registry utils.setup_env + utils.lazy_import -Logger --------- .. toctree:: :maxdepth: 1 + :hidden: utils.logger - -Serialization ----------------- -.. toctree:: - :maxdepth: 1 - utils.serialization - -Setup_env --------------- -.. toctree:: - :maxdepth: 1 - + utils.config + utils.registry utils.setup_env + utils.lazy_import diff --git a/_sources/apis/utils/utils.file_io.rst.txt b/_sources/apis/utils/utils.file_io.rst.txt index a6bd2610..1dfb7a95 100644 --- a/_sources/apis/utils/utils.file_io.rst.txt +++ b/_sources/apis/utils/utils.file_io.rst.txt @@ -1,6 +1,6 @@ .. _utils-file_io: -file\_io +file_io ===================== .. automodule:: utils.file_io diff --git a/_sources/apis/utils/utils.lazy_import.rst.txt b/_sources/apis/utils/utils.lazy_import.rst.txt index 309b4bc4..a443d548 100644 --- a/_sources/apis/utils/utils.lazy_import.rst.txt +++ b/_sources/apis/utils/utils.lazy_import.rst.txt @@ -1,6 +1,6 @@ .. _utils-lazy_import: -lazy\_import +lazy_import ========================= .. automodule:: utils.lazy_import diff --git a/_sources/apis/utils/utils.setup_env.rst.txt b/_sources/apis/utils/utils.setup_env.rst.txt index c4a7241a..25c8baa3 100644 --- a/_sources/apis/utils/utils.setup_env.rst.txt +++ b/_sources/apis/utils/utils.setup_env.rst.txt @@ -1,6 +1,6 @@ .. _utils-setup_env: -setup\_env +setup_env ======================= .. automodule:: utils.setup_env diff --git a/_sources/developer_notes/class_hierarchy.rst.txt b/_sources/developer_notes/class_hierarchy.rst.txt index 931d6e48..0636019b 100644 --- a/_sources/developer_notes/class_hierarchy.rst.txt +++ b/_sources/developer_notes/class_hierarchy.rst.txt @@ -1,6 +1,6 @@ Class Hierarchy ============================= -From the plot of the `LightRAG` library's class hierarchy, we can see the library is well-centered around two base classes: `Component` and `DataClass`, and it maintains a class inheritance hierarchy with no more than two levels. +From the plot of the `LightRAG` library's class hierarchy, we can see the library is well-centered around two powerful base classes: `Component` and `DataClass`, and it maintains no more than two levels of class hierarchy. This design philosophy results in a library with bare minimum abstraction, providing developers with maximum customizability. .. raw:: html diff --git a/_static/class_hierarchy.html b/_static/class_hierarchy.html index f6f6256f..22e4202a 100644 --- a/_static/class_hierarchy.html +++ b/_static/class_hierarchy.html @@ -88,8 +88,8 @@

          // parsing and collecting nodes and edges from the python - nodes = new vis.DataSet([{"color": "#97c2fc", "id": "Component", "label": "Component", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ListParser", "label": "ListParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "JsonParser", "label": "JsonParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "YamlParser", "label": "YamlParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ToolManager", "label": "ToolManager", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Prompt", "label": "Prompt", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ModelClient", "label": "ModelClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Retriever", "label": "Retriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionTool", "label": "FunctionTool", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Tokenizer", "label": "Tokenizer", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Generator", "label": "Generator", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Embedder", "label": "Embedder", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BatchEmbedder", "label": "BatchEmbedder", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sequential", "label": "Sequential", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunComponent", "label": "FunComponent", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ReActAgent", "label": "ReActAgent", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OutputParser", "label": "OutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "TextSplitter", "label": "TextSplitter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DocumentSplitter", "label": "DocumentSplitter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ToEmbeddings", "label": "ToEmbeddings", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RetrieverOutputToContextStr", "label": "RetrieverOutputToContextStr", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DefaultLLMJudge", "label": "DefaultLLMJudge", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMAugmenter", "label": "LLMAugmenter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "CohereAPIClient", "label": "CohereAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "TransformersClient", "label": "TransformersClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GroqAPIClient", "label": "GroqAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GoogleGenAIClient", "label": "GoogleGenAIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OpenAIClient", "label": "OpenAIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "AnthropicAPIClient", "label": "AnthropicAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BM25Retriever", "label": "BM25Retriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "PostgresRetriever", "label": "PostgresRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RerankerRetriever", "label": "RerankerRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMRetriever", "label": "LLMRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FAISSRetriever", "label": "FAISSRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "CoTGenerator", "label": "CoTGenerator", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "CoTGeneratorWithJsonOutput", "label": "CoTGeneratorWithJsonOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "YamlOutputParser", "label": "YamlOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "JsonOutputParser", "label": "JsonOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ListOutputParser", "label": "ListOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BooleanOutputParser", "label": "BooleanOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Generic", "label": "Generic", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LocalDB", "label": "LocalDB", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorOutput", "label": "GeneratorOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Parameter", "label": "Parameter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sample", "label": "Sample", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sampler", "label": "Sampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RandomSampler", "label": "RandomSampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ClassSampler", "label": "ClassSampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Enum", "label": "Enum", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DataClassFormatType", "label": "DataClassFormatType", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ModelType", "label": "ModelType", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DistanceToOperator", "label": "DistanceToOperator", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OptionalPackages", "label": "OptionalPackages", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DataClass", "label": "DataClass", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "EmbedderOutput", "label": "EmbedderOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RetrieverOutput", "label": "RetrieverOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionDefinition", "label": "FunctionDefinition", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Function", "label": "Function", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionExpression", "label": "FunctionExpression", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionOutput", "label": "FunctionOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "StepOutput", "label": "StepOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Document", "label": "Document", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DialogTurn", "label": "DialogTurn", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Instruction", "label": "Instruction", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorStatesRecord", "label": "GeneratorStatesRecord", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorCallRecord", "label": "GeneratorCallRecord", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Optimizer", "label": "Optimizer", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BootstrapFewShot", "label": "BootstrapFewShot", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMOptimizer", "label": "LLMOptimizer", "shape": "dot", "size": 10}]); - edges = new vis.DataSet([{"arrows": "to", "from": "Component", "to": "ListParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "JsonParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "YamlParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "ToolManager", "width": 1}, {"arrows": "to", "from": "Component", "to": "Prompt", "width": 1}, {"arrows": "to", "from": "Component", "to": "ModelClient", "width": 1}, {"arrows": "to", "from": "Component", "to": "Retriever", "width": 1}, {"arrows": "to", "from": "Component", "to": "FunctionTool", "width": 1}, {"arrows": "to", "from": "Component", "to": "Tokenizer", "width": 1}, {"arrows": "to", "from": "Component", "to": "Generator", "width": 1}, {"arrows": "to", "from": "Component", "to": "Embedder", "width": 1}, {"arrows": "to", "from": "Component", "to": "BatchEmbedder", "width": 1}, {"arrows": "to", "from": "Component", "to": "Sequential", "width": 1}, {"arrows": "to", "from": "Component", "to": "FunComponent", "width": 1}, {"arrows": "to", "from": "Component", "to": "ReActAgent", "width": 1}, {"arrows": "to", "from": "Component", "to": "OutputParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "TextSplitter", "width": 1}, {"arrows": "to", "from": "Component", "to": "DocumentSplitter", "width": 1}, {"arrows": "to", "from": "Component", "to": "ToEmbeddings", "width": 1}, {"arrows": "to", "from": "Component", "to": "RetrieverOutputToContextStr", "width": 1}, {"arrows": "to", "from": "Component", "to": "DefaultLLMJudge", "width": 1}, {"arrows": "to", "from": "Component", "to": "LLMAugmenter", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "CohereAPIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "TransformersClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "GroqAPIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "GoogleGenAIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "OpenAIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "AnthropicAPIClient", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "BM25Retriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "PostgresRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "RerankerRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "LLMRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "FAISSRetriever", "width": 1}, {"arrows": "to", "from": "Generator", "to": "CoTGenerator", "width": 1}, {"arrows": "to", "from": "Generator", "to": "CoTGeneratorWithJsonOutput", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "YamlOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "JsonOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "ListOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "BooleanOutputParser", "width": 1}, {"arrows": "to", "from": "Generic", "to": "LocalDB", "width": 1}, {"arrows": "to", "from": "Generic", "to": "Retriever", "width": 1}, {"arrows": "to", "from": "Generic", "to": "GeneratorOutput", "width": 1}, {"arrows": "to", "from": "Generic", "to": "Parameter", "width": 1}, {"arrows": "to", "from": "Generic", "to": "Sample", "width": 1}, {"arrows": "to", "from": "Generic", "to": "Sampler", "width": 1}, {"arrows": "to", "from": "Generic", "to": "RandomSampler", "width": 1}, {"arrows": "to", "from": "Generic", "to": "ClassSampler", "width": 1}, {"arrows": "to", "from": "Sampler", "to": "RandomSampler", "width": 1}, {"arrows": "to", "from": "Sampler", "to": "ClassSampler", "width": 1}, {"arrows": "to", "from": "Enum", "to": "DataClassFormatType", "width": 1}, {"arrows": "to", "from": "Enum", "to": "ModelType", "width": 1}, {"arrows": "to", "from": "Enum", "to": "DistanceToOperator", "width": 1}, {"arrows": "to", "from": "Enum", "to": "OptionalPackages", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "EmbedderOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "RetrieverOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionDefinition", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Function", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionExpression", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "StepOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Document", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "DialogTurn", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Instruction", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorStatesRecord", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorCallRecord", "width": 1}, {"arrows": "to", "from": "Optimizer", "to": "BootstrapFewShot", "width": 1}, {"arrows": "to", "from": "Optimizer", "to": "LLMOptimizer", "width": 1}]); + nodes = new vis.DataSet([{"color": "#97c2fc", "id": "Component", "label": "Component", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BooleanParser", "label": "BooleanParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "IntParser", "label": "IntParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FloatParser", "label": "FloatParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ListParser", "label": "ListParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "JsonParser", "label": "JsonParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "YamlParser", "label": "YamlParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ToolManager", "label": "ToolManager", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Prompt", "label": "Prompt", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ModelClient", "label": "ModelClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Retriever", "label": "Retriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionTool", "label": "FunctionTool", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Tokenizer", "label": "Tokenizer", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Generator", "label": "Generator", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Embedder", "label": "Embedder", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BatchEmbedder", "label": "BatchEmbedder", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sequential", "label": "Sequential", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunComponent", "label": "FunComponent", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ReActAgent", "label": "ReActAgent", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OutputParser", "label": "OutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "TextSplitter", "label": "TextSplitter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ToEmbeddings", "label": "ToEmbeddings", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RetrieverOutputToContextStr", "label": "RetrieverOutputToContextStr", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DefaultLLMJudge", "label": "DefaultLLMJudge", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMAugmenter", "label": "LLMAugmenter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "CohereAPIClient", "label": "CohereAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "TransformersClient", "label": "TransformersClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GroqAPIClient", "label": "GroqAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GoogleGenAIClient", "label": "GoogleGenAIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OpenAIClient", "label": "OpenAIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "AnthropicAPIClient", "label": "AnthropicAPIClient", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BM25Retriever", "label": "BM25Retriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "PostgresRetriever", "label": "PostgresRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RerankerRetriever", "label": "RerankerRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMRetriever", "label": "LLMRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FAISSRetriever", "label": "FAISSRetriever", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "YamlOutputParser", "label": "YamlOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "JsonOutputParser", "label": "JsonOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ListOutputParser", "label": "ListOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BooleanOutputParser", "label": "BooleanOutputParser", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sampler", "label": "Sampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RandomSampler", "label": "RandomSampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ClassSampler", "label": "ClassSampler", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Enum", "label": "Enum", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DataClassFormatType", "label": "DataClassFormatType", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "ModelType", "label": "ModelType", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DistanceToOperator", "label": "DistanceToOperator", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "OptionalPackages", "label": "OptionalPackages", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DataClass", "label": "DataClass", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "EmbedderOutput", "label": "EmbedderOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorOutput", "label": "GeneratorOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "RetrieverOutput", "label": "RetrieverOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionDefinition", "label": "FunctionDefinition", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Function", "label": "Function", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionExpression", "label": "FunctionExpression", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "FunctionOutput", "label": "FunctionOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "StepOutput", "label": "StepOutput", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Document", "label": "Document", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "DialogTurn", "label": "DialogTurn", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Instruction", "label": "Instruction", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorStatesRecord", "label": "GeneratorStatesRecord", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "GeneratorCallRecord", "label": "GeneratorCallRecord", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Optimizer", "label": "Optimizer", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "BootstrapFewShot", "label": "BootstrapFewShot", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LLMOptimizer", "label": "LLMOptimizer", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "LocalDB", "label": "LocalDB", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Parameter", "label": "Parameter", "shape": "dot", "size": 10}, {"color": "#97c2fc", "id": "Sample", "label": "Sample", "shape": "dot", "size": 10}]); + edges = new vis.DataSet([{"arrows": "to", "from": "Component", "to": "BooleanParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "IntParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "FloatParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "ListParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "JsonParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "YamlParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "ToolManager", "width": 1}, {"arrows": "to", "from": "Component", "to": "Prompt", "width": 1}, {"arrows": "to", "from": "Component", "to": "ModelClient", "width": 1}, {"arrows": "to", "from": "Component", "to": "Retriever", "width": 1}, {"arrows": "to", "from": "Component", "to": "FunctionTool", "width": 1}, {"arrows": "to", "from": "Component", "to": "Tokenizer", "width": 1}, {"arrows": "to", "from": "Component", "to": "Generator", "width": 1}, {"arrows": "to", "from": "Component", "to": "Embedder", "width": 1}, {"arrows": "to", "from": "Component", "to": "BatchEmbedder", "width": 1}, {"arrows": "to", "from": "Component", "to": "Sequential", "width": 1}, {"arrows": "to", "from": "Component", "to": "FunComponent", "width": 1}, {"arrows": "to", "from": "Component", "to": "ReActAgent", "width": 1}, {"arrows": "to", "from": "Component", "to": "OutputParser", "width": 1}, {"arrows": "to", "from": "Component", "to": "TextSplitter", "width": 1}, {"arrows": "to", "from": "Component", "to": "ToEmbeddings", "width": 1}, {"arrows": "to", "from": "Component", "to": "RetrieverOutputToContextStr", "width": 1}, {"arrows": "to", "from": "Component", "to": "DefaultLLMJudge", "width": 1}, {"arrows": "to", "from": "Component", "to": "LLMAugmenter", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "CohereAPIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "TransformersClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "GroqAPIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "GoogleGenAIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "OpenAIClient", "width": 1}, {"arrows": "to", "from": "ModelClient", "to": "AnthropicAPIClient", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "BM25Retriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "PostgresRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "RerankerRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "LLMRetriever", "width": 1}, {"arrows": "to", "from": "Retriever", "to": "FAISSRetriever", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "YamlOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "JsonOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "ListOutputParser", "width": 1}, {"arrows": "to", "from": "OutputParser", "to": "BooleanOutputParser", "width": 1}, {"arrows": "to", "from": "Sampler", "to": "RandomSampler", "width": 1}, {"arrows": "to", "from": "Sampler", "to": "ClassSampler", "width": 1}, {"arrows": "to", "from": "Enum", "to": "DataClassFormatType", "width": 1}, {"arrows": "to", "from": "Enum", "to": "ModelType", "width": 1}, {"arrows": "to", "from": "Enum", "to": "DistanceToOperator", "width": 1}, {"arrows": "to", "from": "Enum", "to": "OptionalPackages", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "EmbedderOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "RetrieverOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionDefinition", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Function", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionExpression", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "FunctionOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "StepOutput", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Document", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "DialogTurn", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "Instruction", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorStatesRecord", "width": 1}, {"arrows": "to", "from": "DataClass", "to": "GeneratorCallRecord", "width": 1}, {"arrows": "to", "from": "Optimizer", "to": "BootstrapFewShot", "width": 1}, {"arrows": "to", "from": "Optimizer", "to": "LLMOptimizer", "width": 1}]); nodeColors = {}; allNodes = nodes.get({ returnType: "Object" }); diff --git a/_static/css/custom.css b/_static/css/custom.css index a97701dd..70018085 100644 --- a/_static/css/custom.css +++ b/_static/css/custom.css @@ -23,6 +23,12 @@ .pre { color: #0a7d91; /* Change the color of ```` blocks */ } +/* hide on this page */ +/* #pst-page-navigation-heading-2 { + display: none; +} */ + + /* .copyright { text-align: center; diff --git a/apis/components/None/components.agent.react.html b/apis/components/None/components.agent.react.html deleted file mode 100644 index 2cf82678..00000000 --- a/apis/components/None/components.agent.react.html +++ /dev/null @@ -1,701 +0,0 @@ - - - - - - - - - - - components.agent.react — LightRAG documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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          components.agent.react#

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          Implementation of ReAct.

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          Classes

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          ReActAgent([tools, max_steps, ...])

          ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response.

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          -class ReActAgent(tools: List[Callable | Callable[[...], Awaitable[Any]] | FunctionTool] = [], max_steps: int = 10, add_llm_as_fallback: bool = True, *, model_client: ModelClient, model_kwargs: Dict = {})[source]#
          -

          Bases: Component

          -

          ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response.

          -

          Users need to set up: -- tools: a list of tools to use to complete the task. Each tool is a function or a function tool. -- max_steps: the maximum number of steps the agent can take to complete the task. -- use_llm_as_fallback: a boolean to decide whether to use an additional LLM model as a fallback tool to answer the query. -- model_client: the model client to use to generate the response. -- model_kwargs: the model kwargs to use to generate the response.

          -

          For the generator, the default arguments are: -(1) default prompt: DEFAULT_REACT_AGENT_SYSTEM_PROMPT -(2) default output_processors: JsonParser

          -

          There are examples which is optional, a list of string examples in the prompt.

          -

          Example:

          -

          Reference: -[1] https://arxiv.org/abs/2210.03629, published in Mar, 2023.

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          -reset()[source]#
          -

          Reset the agent to start a new query.

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          -call(input: str, promt_kwargs: Dict | None = {}, model_kwargs: Dict | None = {}) Any[source]#
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          prompt_kwargs: additional prompt kwargs to either replace or add to the preset prompt kwargs.

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          components.data_process.data_components#

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          Helper components for data transformation such as embeddings and document splitting.

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          retriever_output_to_context_str(retriever_output)

          The retrieved documents from one or mulitple queries.

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          RetrieverOutputToContextStr([deduplicate])

          Wrap on functional F.retriever_output_to_context_str

          ToEmbeddings(embedder[, batch_size])

          It transforms a Sequence of Chunks or Documents to a List of Embeddings.

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          -class ToEmbeddings(embedder: Embedder, batch_size: int = 50)[source]#
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          Bases: Component

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          It transforms a Sequence of Chunks or Documents to a List of Embeddings.

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          It operates on a copy of the input data, and does not modify the input data.

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          -class RetrieverOutputToContextStr(deduplicate: bool = False)[source]#
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          Bases: Component

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          Wrap on functional F.retriever_output_to_context_str

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          -retriever_output_to_context_str(retriever_output: RetrieverOutput | List[RetrieverOutput], deduplicate: bool = False) str[source]#
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          The retrieved documents from one or mulitple queries. -Deduplicate is especially helpful when you used query expansion.

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          components.data_process.text_splitter#

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          Splitting texts is commonly used as a preprocessing step before embedding and retrieving texts.

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          We encourage you to process your data here and define your own embedding and retrieval methods. These methods can highly depend on the product environment and may extend beyond the scope of this library.

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          However, the following approaches are commonly shared:

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          • Document Storage: Define how to store the documents, both raw and chunked. For example, LlamaIndex uses Document Stores to manage ingested document chunks.

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          • Document Chunking: Segment documents into manageable chunks suitable for further processing.

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          • Vectorization: Embed each chunk and store the resulting vectors in Vector Stores. For example, LLama index utilizes Vector Stores.

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          TextSplitter([split_by, chunk_size, ...])

          Text Splitter for Chunking Documents

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          -class TextSplitter(split_by: Literal['word', 'sentence', 'page', 'passage', 'token'] = 'word', chunk_size: int = 800, chunk_overlap: int = 200, batch_size: int = 1000)[source]#
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          Bases: Component

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          Text Splitter for Chunking Documents

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          TextSplitter first utilizes split_by to specify the text-splitting criterion and breaks the long text into smaller texts. -Then we create a sliding window with length= chunk_size. It moves at step= chunk_size - chunk_overlap. -The texts inside each window will get merged to a smaller chunk. The generated chunks from the splitted text will be returned.

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          Splitting Types

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          TextSplitter supports 2 types of splitting.

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          • Type 1: Specify the exact text splitting point such as space<” “> and periods<”.”>. It is intuitive, for example, split_by “word”:

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          "Hello, world!" -> ["Hello, " ,"world!"]
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          "Hello, world!" -> ['Hello', ',', ' world', '!']
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          This aligns with how models see text in the form of tokens (Reference), -Tokenizer reflects the real token numbers the models take in and helps the developers control budgets.

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          Definitions

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          • split_by specifies the split rule, i.e. the smallest unit during splitting. We support "word", "sentence", "page", "passage", and "token". The splitter utilizes the corresponding separator from the SEPARATORS dictionary.

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          For Type 1 splitting, we apply Python str.split() to break the text.

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          • SEPARATORS: Maps split_by criterions to their exact text separators, e.g., spaces <” “> for “word” or periods <”.”> for “sentence”.

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          Note

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          For option token, its separator is “” because we directly split by a tokenizer, instead of text point.

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          • chunk_overlap is the number of units that each chunk should overlap. Including context at the borders prevents sudden meaning shift in text between sentences/context, especially in sentiment analysis.

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          • Splitting Details

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          Type 1: -The TextSplitter utilizes Python’s str.split(separator) method. -Developers can refer to

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          {
          -    "page": "\f",
          -    "passage": "\n",
          -    "word": " ",
          -    "sentence": "."
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          for exact points of text division.

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          Note

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          Developers need to determine how to assign text to each data chunk for the embedding and retrieval tasks.

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          Type 2: -We implement a tokenizer using cl100k_base encoding that aligns with how models see text in the form of tokens. -E.g. “tiktoken is great!” -> [“t”, “ik”, “token”, “ is”, “ great”, “!”] This helps developers control the token usage and budget better.

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          • Merge Details

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          Type 1/Type 2 create a list of split texts. TextSplitter then reattaches the specified separator to each piece of the split text, except for the last segment. -This approach maintains the original spacing and punctuation, which is critical in contexts like natural language processing where text formatting can impact interpretations and outcomes. -E.g. “hello world!” split by “word” will be kept as “hello “ and “world!”

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          • Customization

          • -
          -

          You can also customize the SEPARATORS. For example, by defining SEPARATORS = {“question”: “?”} and setting split_by = “question”, the document will be split at each ?, ideal for processing text structured -as a series of questions. If you need to customize tokenizer, please check Reference.

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          • Integration with Other Document Types

          • -
          -

          This functionality is ideal for segmenting texts into sentences, words, pages, or passages, which can then be processed further for NLP applications. -For PDFs, developers will need to extract the text before using the splitter. Libraries like PyPDF2 or PDFMiner can be utilized for this purpose. -LightRAG’s future implementations will introduce splitters for JSON, HTML, markdown, and code.

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          Example:

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          from lightrag.components.data_process.text_splitter import TextSplitter
          -from lightrag.core.types import Document
          -
          -# Configure the splitter settings
          -text_splitter = TextSplitter(
          -    split_by="word",
          -    chunk_size=5,
          -    chunk_overlap=1
          -)
          -
          -# Example document
          -doc = Document(
          -    text="Example text. More example text. Even more text to illustrate.",
          -    id="doc1"
          -)
          -
          -# Execute the splitting
          -splitted_docs = text_splitter.call(documents=[doc])
          -
          -for doc in splitted_docs:
          -    print(doc)
          -
          -# Output:
          -# Document(id=44a8aa37-0d16-40f0-9ca4-2e25ae5336c8, text='Example text. More example text. ', meta_data=None, vector=[], parent_doc_id=doc1, order=0, score=None)
          -# Document(id=ca0af45b-4f88-49b5-97db-163da9868ea4, text='text. Even more text to ', meta_data=None, vector=[], parent_doc_id=doc1, order=1, score=None)
          -# Document(id=e7b617b2-3927-4248-afce-ec0fc247ac8b, text='to illustrate.', meta_data=None, vector=[], parent_doc_id=doc1, order=2, score=None)
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          Process the splitting task on a list of documents in batch.

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          components.memory.memory#

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          Memory for user-assistant conversations. [Not completed]

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          Memory can include data modeling, in-memory data storage, local file data storage, cloud data persistence, data pipeline, data retriever. -It is itself an LLM application and different use cases can do it differently.

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          This implementation covers the minimal and local memory experience for the user-assistant conversation.

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          Memory([turn_db])

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          components.model_client.anthropic_client#

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          Anthropic ModelClient integration.

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          AnthropicAPIClient([api_key])

          A component wrapper for the Anthropic API client.

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          -class AnthropicAPIClient(api_key: str | None = None)[source]#
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          Bases: ModelClient

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          A component wrapper for the Anthropic API client.

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          Visit https://docs.anthropic.com/en/docs/intro-to-claude for more api details.

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          components.model_client.cohere_client#

          -

          Cohere ModelClient integration.

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          CohereAPIClient([api_key])

          A component wrapper for the Cohere API.

          -
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          -class CohereAPIClient(api_key: str | None = None)[source]#
          -

          Bases: ModelClient

          -

          A component wrapper for the Cohere API.

          -

          Visit https://docs.cohere.com/ for more api details.

          -

          References: -- Cohere reranker: https://docs.cohere.com/reference/rerank

          -

          Tested Cohere models: 6/16/2024 -- rerank-english-v3.0, rerank-multilingual-v3.0, rerank-english-v2.0, rerank-multilingual-v2.0

          -
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          -convert_inputs_to_api_kwargs(input: Any | None = None, model_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED) Dict[source]#
          -
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          For rerank model, expect model_kwargs to have the following keys:

          model: str, -query: str, -documents: List[str], -top_n: int,

          -
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          -call(api_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED)[source]#
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          Subclass use this to call the API with the sync client. -model_type: this decides which API, such as chat.completions or embeddings for OpenAI. -api_kwargs: all the arguments that the API call needs, subclass should implement this method.

          -

          Additionally in subclass you can implement the error handling and retry logic here. See OpenAIClient for example.

          -
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          Subclass use this to call the API with the async client.

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          components.model_client.groq_client#

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          Groq ModelClient integration.

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          GroqAPIClient([api_key])

          A component wrapper for the Groq API client.

          -
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          -class GroqAPIClient(api_key: str | None = None)[source]#
          -

          Bases: ModelClient

          -

          A component wrapper for the Groq API client.

          -

          Visit https://console.groq.com/docs/ for more api details. -Check https://console.groq.com/docs/models for the available models.

          -

          Tested Groq models: 4/22/2024 -- llama3-8b-8192 -- llama3-70b-8192 -- mixtral-8x7b-32768 -- gemma-7b-it

          -
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          Parse the completion to a string output.

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          Bridge the Component’s standard input and model_kwargs into API-specific format, the api_kwargs that will be used in _call and _acall methods.

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          Subclass use this to call the API with the sync client. -model_type: this decides which API, such as chat.completions or embeddings for OpenAI. -api_kwargs: all the arguments that the API call needs, subclass should implement this method.

          -

          Additionally in subclass you can implement the error handling and retry logic here. See OpenAIClient for example.

          -
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          Subclass use this to call the API with the async client.

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          components.model_client.openai_client#

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          OpenAI ModelClient integration.

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          Functions

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          get_all_messages_content(completion)

          When the n > 1, get all the messages content.

          get_first_message_content(completion)

          When we only need the content of the first message.

          get_probabilities(completion)

          Get the probabilities of each token in the completion.

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          OpenAIClient([api_key, chat_completion_parser])

          A component wrapper for the OpenAI API client.

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          -get_first_message_content(completion: Completion) str[source]#
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          When we only need the content of the first message. -It is the default parser for chat completion.

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          -get_all_messages_content(completion: Completion) List[str][source]#
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          When the n > 1, get all the messages content.

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          Get the probabilities of each token in the completion.

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          -class OpenAIClient(api_key: str | None = None, chat_completion_parser: Callable[[Completion], Any] = None)[source]#
          -

          Bases: ModelClient

          -

          A component wrapper for the OpenAI API client.

          -

          Support both embedding and chat completion API.

          -

          Users (1) simplify use Embedder and Generator components by passing OpenAIClient() as the model_client. -(2) can use this as an example to create their own API client or extend this class(copying and modifing the code) in their own project.

          -
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          Note

          -

          We suggest users not to use response_format to enforce output data type or tools and tool_choice in your model_kwargs when calling the API. -We do not know how OpenAI is doing the formating or what prompt they have added. -Instead -- use OutputParser for response parsing and formating.

          -
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          Parameters:
          -
            -
          • api_key (Optional[str], optional) – OpenAI API key. Defaults to None.

          • -
          • chat_completion_parser (Callable[[Completion], Any], optional) – A function to parse the chat completion to a str. Defaults to None. -Default is get_first_message_content.

          • -
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          References

          - -
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          -init_sync_client()[source]#
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          -init_async_client()[source]#
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          -parse_chat_completion(completion: Completion) Any[source]#
          -

          Parse the completion to a str.

          -
          - -
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          -parse_embedding_response(response: CreateEmbeddingResponse) EmbedderOutput[source]#
          -

          Parse the embedding response to a structure LightRAG components can understand.

          -

          Should be called in Embedder.

          -
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          -convert_inputs_to_api_kwargs(input: Any | None = None, model_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED) Dict[source]#
          -

          Specify the API input type and output api_kwargs that will be used in _call and _acall methods. -Convert the Component’s standard input, and system_input(chat model) and model_kwargs into API-specific format

          -
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          -call(api_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED)[source]#
          -

          kwargs is the combined input and model_kwargs

          -
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          -async acall(api_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED)[source]#
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          kwargs is the combined input and model_kwargs

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          Create an instance from previously serialized data -using to_dict() method.

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          Convert the component to a dictionary.

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          components.model_client.transformers_client#

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          Huggingface transformers ModelClient integration.

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          average_pool(last_hidden_states, attention_mask)

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          TransformerEmbedder([model_name])

          Local model SDK for transformers.

          TransformerLLM([model_name])

          TransformerReranker([model_name])

          Local model SDK for a reranker model using transformers.

          TransformersClient([model_name])

          LightRAG API client for transformers.

          -
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          -average_pool(last_hidden_states: Tensor, attention_mask: Tensor) Tensor[source]#
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          -class TransformerEmbedder(model_name: str | None = 'thenlper/gte-base')[source]#
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          Bases: object

          -

          Local model SDK for transformers.

          -

          There are two ways to run transformers: -(1) model and then run model inference -(2) Pipeline and then run pipeline inference

          -

          This file demonstrates how to -(1) create a torch model inference component: TransformerEmbedder which equalize to OpenAI(), the SyncAPIClient -(2) Convert this model inference component to LightRAG API client: TransformersClient

          -

          The is now just an exmplary component that initialize a certain model from transformers and run inference on it. -It is not tested on all transformer models yet. It might be necessary to write one for each model.

          -

          References: -- transformers: https://huggingface.co/docs/transformers/en/index -- thenlper/gte-base model:https://huggingface.co/thenlper/gte-base

          -
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          -models: Dict[str, type] = {}#
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          -class TransformerReranker(model_name: str | None = 'BAAI/bge-reranker-base')[source]#
          -

          Bases: object

          -

          Local model SDK for a reranker model using transformers.

          -

          References: -- model: https://huggingface.co/BAAI/bge-reranker-base -- paper: https://arxiv.org/abs/2309.07597

          -

          note: -If you are using Macbook M1 series chips, you need to ensure torch.device("mps") is set.

          -
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          -models: Dict[str, type] = {}#
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          -infer_bge_reranker_base(query: str, documents: List[str]) List[float][source]#
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          -class TransformerLLM(model_name: str | None = 'HuggingFaceH4/zephyr-7b-beta')[source]#
          -

          Bases: object

          -
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          -models: Dict[str, type] = {}#
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          -class TransformersClient(model_name: str | None = None)[source]#
          -

          Bases: ModelClient

          -

          LightRAG API client for transformers.

          -

          Use: ``ls ~/.cache/huggingface/hub `` to see the cached models.

          -
          -
          -support_models = {'BAAI/bge-reranker-base': {'type': ModelType.RERANKER}, 'HuggingFaceH4/zephyr-7b-beta': {'type': ModelType.LLM}, 'thenlper/gte-base': {'type': ModelType.EMBEDDER}}#
          -
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          -init_sync_client()[source]#
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          -init_llm_client()[source]#
          -
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          -parse_embedding_response(response: Any) EmbedderOutput[source]#
          -

          Parse the embedding response to a structure LightRAG components can understand.

          -
          - -
          -
          -call(api_kwargs: Dict = {}, model_type: ModelType = ModelType.UNDEFINED)[source]#
          -

          Subclass use this to call the API with the sync client. -model_type: this decides which API, such as chat.completions or embeddings for OpenAI. -api_kwargs: all the arguments that the API call needs, subclass should implement this method.

          -

          Additionally in subclass you can implement the error handling and retry logic here. See OpenAIClient for example.

          -
          - -
          -
          -convert_inputs_to_api_kwargs(input: Any, model_kwargs: dict = {}, model_type: ModelType = ModelType.UNDEFINED) dict[source]#
          -

          Bridge the Component’s standard input and model_kwargs into API-specific format, the api_kwargs that will be used in _call and _acall methods.

          -
          -
          Parameters:
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          components.output_parsers.outputs#

          -

          The most commonly used output parsers for the Generator.

          -

          Classes

          -
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          BooleanOutputParser()

          Boolean output parser to parse boolean values from the string.

          JsonOutputParser(data_class[, examples, ...])

          ListOutputParser([list_output_format_template])

          List output parser to parse list of objects from the string.

          OutputParser(*args, **kwargs)

          The abstract class for all output parsers.

          YamlOutputParser(data_class[, examples, ...])

          YAML output parser using dataclass for schema extraction.

          -
          -
          -
          -class OutputParser(*args, **kwargs)[source]#
          -

          Bases: Component

          -

          The abstract class for all output parsers.

          -

          This interface helps users customize output parsers with consistent interfaces for the Generator. -Even though you don’t always need to subclass it.

          -

          LightRAG uses two core components: -1. the Prompt to format output instruction -2. A string parser component from core.string_parser for response parsing.

          -
          -
          -format_instructions() str[source]#
          -

          Return the formatted instructions to use in prompt for the output format.

          -
          - -
          -
          -call(input: str) Any[source]#
          -

          Parse the output string to the desired format and return the parsed output.

          -
          - -
          - -
          -
          -class YamlOutputParser(data_class: DataClass, examples: List[DataClass] = None, exclude_fields: List[str] | Dict[str, List[str]] | None = None)[source]#
          -

          Bases: OutputParser

          -

          YAML output parser using dataclass for schema extraction.

          -
          -

          Note

          -

          Only use yaml for simple dataclass objects. For complex objects, use JSON.

          -
          -
          -
          Parameters:
          -
            -
          • data_class (Type) – The dataclass to extract the schema for the YAML output.

          • -
          • example (Type, optional) – The example dataclass object to show in the prompt. Defaults to None.

          • -
          • yaml_output_format_template (str, optional) – The template for the YAML output format. Defaults to YAML_OUTPUT_FORMAT.

          • -
          • output_processors (Component, optional) – The output processors to parse the YAML string to JSON object. Defaults to YamlParser().

          • -
          -
          -
          -

          Examples:

          -
          >>> from prompts.outputs import YamlOutputParser
          ->>> from dataclasses import dataclass, field
          ->>> from typing import List
          ->>>
          ->>> @dataclass
          ->>> class ThoughtAction:
          ->>>     thought: str = field(metadata={"description": "Reasoning behind the answer"}) # required field
          ->>>     answer: str = field(metadata={"description": "Your answer to the question"}, default=None) # optional field
          ->>>
          ->>> # If you want to parse it back to the dataclass, you can add a from_dict method to the dataclass
          ->>> # def from_dict(self, d: Dict[str, Any]) -> "ThoughtAction":
          ->>> #     return ThoughtAction(**d)
          ->>>
          ->>> yaml_parser = YamlOutputParser(data_class_for_yaml=ThoughtAction)
          ->>> yaml_format_instructions = yaml_parser.format_instructions()
          ->>> print(yaml_format_instructions)
          ->>> yaml_str = '''The output should be formatted as a standard YAML instance with the following JSON schema:
          ->>> ```
          ->>> 'thought': {'type': 'str', 'description': 'Reasoning behind the answer', 'required': True}, 'answer': {'type': 'str', 'description': '
          ->>> Your answer to the question', 'required': False, 'default': None}
          ->>> ```
          ->>> -Make sure to always enclose the YAML output in triple backticks (```). Please do not add anything other than valid YAML output!
          ->>> -Follow the YAML formatting conventions with an indent of 2 spaces.
          ->>> '''
          ->>> # use it in the generator
          ->>> task_desc_str = "You are a helpful assistant who answers user query. "+yaml_format_instructions
          ->>> generator = Generator(output_processors=yaml_parser, ..., preset_prompt_kwargs={"task_desc_str": task_desc_str})
          ->>> generator("Should i be a doctor?")
          -
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          -format_instructions(format_type: DataClassFormatType | None = None) str[source]#
          -

          Return the formatted instructions to use in prompt for the YAML output format.

          -
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          Parameters:
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            -
          • format_type (DataClassFormatType, optional) – The format type to show in the prompt. -Defaults to DataClassFormatType.SIGNATURE_YAML for less token usage. -Options: DataClassFormatType.SIGNATURE_YAML, DataClassFormatType.SIGNATURE_JSON, DataClassFormatType.SCHEMA.

          • -
          • exclude (List[str], optional) – The fields to exclude from the schema of the data class.

          • -
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          -call(input: str) Dict[str, Any][source]#
          -

          Parse the YAML string to JSON object and return the JSON object.

          -
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          - -
          -
          -class JsonOutputParser(data_class: DataClass, examples: List[DataClass] = None, exclude_fields: List[str] | Dict[str, List[str]] | None = None)[source]#
          -

          Bases: OutputParser

          -
          -
          -format_instructions(format_type: DataClassFormatType | None = None) str[source]#
          -

          Return the formatted instructions to use in prompt for the JSON output format.

          -
          -
          Parameters:
          -

          format_type (DataClassFormatType, optional) – The format type to show in the prompt. -Defaults to DataClassFormatType.SIGNATURE_JSON for less token usage compared with DataClassFormatType.SCHEMA. -Options: DataClassFormatType.SIGNATURE_YAML, DataClassFormatType.SIGNATURE_JSON, DataClassFormatType.SCHEMA.

          -
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          -call(input: str) Any[source]#
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          Parse the output string to the desired format and return the parsed output.

          -
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          -
          -class ListOutputParser(list_output_format_template: str = "Your output should be formatted as a standard Python list.\n- Start the list with '[' and end with ']'")[source]#
          -

          Bases: OutputParser

          -

          List output parser to parse list of objects from the string.

          -
          -
          -format_instructions() str[source]#
          -

          Return the formatted instructions to use in prompt for the output format.

          -
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          -
          -call(input: str) list[source]#
          -

          Parse the output string to the desired format and return the parsed output.

          -
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          -class BooleanOutputParser[source]#
          -

          Bases: OutputParser

          -

          Boolean output parser to parse boolean values from the string.

          -
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          -format_instructions() str[source]#
          -

          Return the formatted instructions to use in prompt for the output format.

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          Parse the output string to the desired format and return the parsed output.

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          components.reasoning.chain_of_thought#

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          Chain of the thought(CoT) is to mimic a step-by-step thought process for arriving at the answer.

          -

          https://arxiv.org/abs/2201.11903, published in Jan, 2023

          -

          Chain of the thought(CoT) is to mimic a step-by-step thought process for arriving at the answer. You can achieve it in two ways: -1. Add instructions such as “Let’s think step-by-step to answer this question”. -2. Add few-shot examples such as -‘ -Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now? -A: Roger started with 5 balls. 2 cansof 3 tennis balls each is 6 tennis balls. 5 + 6 = 11. The answer is 11. -‘

          -

          NOTE: CoT can be helpful for more complicated task, it also varies from task to task and model to model. -For instance, CoT might already be supported in gpt3.5+ api calls.

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          Benchmark it with and without CoT to see if it helps.

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          components.retriever.bm25_retriever#

          -

          BM25 retriever implementation.

          -

          Functions

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          Classes

          -
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          BM25Retriever([top_k, k1, b, epsilon, ...])

          Fast Implementation of Best Matching 25 ranking function.

          -
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          -split_text_by_word_fn(x: str) List[str][source]#
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          -split_text_by_word_fn_then_lower_tokenized(x: str) List[str][source]#
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          -class BM25Retriever(top_k: int = 5, k1: float = 1.5, b: float = 0.75, epsilon: float = 0.25, documents: Sequence[Any] | None = None, document_map_func: Callable[[Any], str] | None = None, use_tokenizer: bool = True)[source]#
          -

          Bases: Retriever[str, str]

          -

          Fast Implementation of Best Matching 25 ranking function.

          -

          It expects str as the final document type after document_map_func if the given document is not already in the format of List[str]. -It expects Union[str, Sequence[str]] as the input in retrieve() method.

          -
          -\[ \begin{align}\begin{aligned}\text{idf}(q_i) = \log\left(\frac{N - n(q_i) + 0.5}{n(q_i) + 0.5}\right)\\\text{score}(q, d) = \sum_{i=1}^{n} \text{idf}(q_i) \cdot \frac{f(q_i, d) \cdot (k1 + 1)}{f(q_i, d) + k1 \cdot \left(1 - b + b \cdot \frac{|d|}{\text{avgdl}}\right)}\end{aligned}\end{align} \]
          -
          -
          Explanation:
            -
          • IDF(q_i) is the inverse document frequency of term q_i, which measures how important the term is. To avoid division by zero, 0.5 is added to the denominator, also for diminishing the weight of terms that occur very frequently in the document set and increase the weight of terms that occur rarely.

          • -
          • f(q_i, d) is the term frequency of term q_i in document d, which measures how often the term occurs in the document. The term frequency is normalized by dividing the raw term frequency by the document length.

          • -
          • |d| is the length of the document d in words or tokens.

          • -
          • avgdl is the average document length in the corpus.

          • -
          • N is the total number of documents in the corpus.

          • -
          • n(q_i) is the number of documents containing term q_i.

          • -
          -
          -
          -

          References

          -

          [1] https://en.wikipedia.org/wiki/Okapi_BM25 -[2] dorianbrown/rank_bm25 -[3] Improvements to BM25 and Language Models Examined: https://www.cs.otago.ac.nz/homepages/andrew/papers/2014-2.pdf

          -
          -
          Parameters:
          -
            -
          • top_k – (int): The number of documents to return

          • -
          • k1 – (float, optional): Constant used for influencing the term frequency saturation. After saturation is reached, additional -presence for the term adds a significantly less additional score. According to [1]_, experiments suggest -that 1.2 < k1 < 2 yields reasonably good results, although the optimal value depends on factors such as -the type of documents or queries.

          • -
          • b – (float, optional): Constant used for influencing the effects of different document lengths relative to average document length. -When b is bigger, lengthier documents (compared to average) have more impact on its effect. According to -[1]_, experiments suggest that 0.5 < b < 0.8 yields reasonably good results, although the optimal value -depends on factors such as the type of documents or queries.

          • -
          • epsilon – (float, optional): Used to adapt the negative idf score to epilon * average_idf. Default is 0.25

          • -
          • documents – (List[Any], optional): The list of documents to build the index from. Default is None.

          • -
          • document_map_func – (Callable, optional): The function to transform the document into List[str]. -You don’t need it if your documents are already in format List[str].

          • -
          • use_tokenizer – (bool, optional): Whether to use the default tokenizer to split the text into words. Default is True.

          • -
          -
          -
          -

          Examples:

          -
          from lightrag.components.retriever.bm25_retriever import BM25Retriever
          -
          -documents = ["hello world", "world is beautiful", "today is a good day"]
          -
          -
          -
            -
          1. Pass the documents from the __init__ method:

          2. -
          -
          retriever = BM25Retriever(top_k=1, documents=documents)
          -output = retriever("hello")
          -print(output)
          -# Output:
          -# [RetrieverOutput(doc_indices=[0], doc_scores=[0.6229580777634034], query=None, documents=None)]
          -
          -
          -
            -
          1. Pass the documents from the build_index_from_documents() method:

          2. -
          -
            -
          1. Save the index to file and load it back:

          2. -
          -
          retriever.save_to_file("bm25_index.json")
          -retriever2 = BM25Retriever.load_from_file("bm25_index.json")
          -output = retriever2("hello")
          -print(output)
          -
          -
          -

          note: -The retriever only fill in the doc_indices and doc_scores. The documents needs to be filled in by the user.

          -
          -
          -reset_index()[source]#
          -

          Used for both initializing and resetting the index.

          -
          - -
          -
          -build_index_from_documents(documents: Sequence[RetrieverDocumentType], document_map_func: Callable[[Any], str] | None = None, **kwargs)[source]#
          -

          Built index from the text field of each document in the list of documents

          -
          - -
          -
          -call(input: str | Sequence[str], top_k: int | None = None, **kwargs) List[RetrieverOutput][source]#
          -

          Retrieve the top n documents for the query and return only the indexes of the documents.

          -
          -
          Parameters:
          -
            -
          • input – Union[str, List[str]]: The query or list of queries

          • -
          • top_k – Optional[int]: The number of documents to return

          • -
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          -save_to_file(path: str)[source]#
          -

          Save the state, including the index to a file.

          -

          Optional for subclass to implement a default persistence method. -Subclass can leverge component’s to_dict method to get the states and choose to save them in any file format.

          -
          - -
          -
          -classmethod load_from_file(path: str)[source]#
          -

          Load the state, including index from a file to restore the retriever.

          -

          Subclass can leverge component’s from_dict method to restore the states from the file.

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          components.retriever.llm_retriever#

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          LLM as retriever module.

          -

          Classes

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          LLMRetriever(*[, top_k, model_kwargs, ...])

          Use LLM to access the query and the documents to retrieve the top k relevant indices of the documents.

          -
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          -
          -class LLMRetriever(*, top_k: int | None = 1, model_client: ModelClient, model_kwargs: Dict[str, Any] = {}, documents: Sequence[RetrieverDocumentType] | None = None, document_map_func: Callable[[Any], str] | None = None)[source]#
          -

          Bases: Retriever[str, str]

          -

          Use LLM to access the query and the documents to retrieve the top k relevant indices of the documents.

          -

          Users can follow this example and to customize the prompt or additionally ask it to output score along with the indices.

          -
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          Parameters:
          -
            -
          • top_k (Optional[int], optional) – top k documents to fetch. Defaults to 1.

          • -
          • model_client (ModelClient) – the model client to use.

          • -
          • model_kwargs (Dict[str, Any], optional) – the model kwargs. Defaults to {}.

          • -
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          Note

          -

          There is chance some queries might fail, which will lead to empty response None for that query in the List of RetrieverOutput. Users should handle this case.

          -
          -
          -
          -reset_index()[source]#
          -

          Initialize/reset any attributes/states for the index.

          -
          - -
          -
          -build_index_from_documents(documents: Sequence[RetrieverDocumentType], document_map_func: Callable[[Any], str] | None = None)[source]#
          -

          prepare the user query input for the retriever

          -
          - -
          -
          -call(input: str | Sequence[str], top_k: int | None = None, model_kwargs: Dict[str, Any] = {}) List[RetrieverOutput][source]#
          -

          Retrieve the k relevant documents.

          -
          -
          Parameters:
          -
            -
          • query_or_queries (RetrieverStrQueriesType) – a string or a list of strings.

          • -
          • top_k (Optional[int], optional) – top k documents to fetch. Defaults to None.

          • -
          • model_kwargs (Dict[str, Any], optional) – the model kwargs. -You can switch to another model provided by the same model client without reinitializing the retriever. Defaults to {}.

          • -
          -
          -
          Returns:
          -

          the developers should be aware that the returned LLMRetrieverOutputType is actually a list of GeneratorOutput(GeneratorOutput), post processing is required depends on how you instruct the model to output in the prompt and what output_processors you set up. -E.g. If the prompt is to output a list of indices and the output_processors is ListParser(), then it return: GeneratorOutput(data=[indices], error=None, raw_response=’[indices]’)

          -
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          RetrieverOutputType

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          components.retriever.reranker_retriever#

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          Reranking model using modelclient as a retriever.

          -

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          -
          - - - - - -

          RerankerRetriever(model_client[, ...])

          A retriever that uses a reranker model to rank the documents and retrieve the top-k documents.

          -
          -
          -
          -class RerankerRetriever(model_client: ModelClient, model_kwargs: Dict = {}, top_k: int = 5, documents: Sequence[RetrieverDocumentType] | None = None, document_map_func: Callable[[Any], str] | None = None)[source]#
          -

          Bases: Retriever[str, str | Sequence[str]]

          -

          A retriever that uses a reranker model to rank the documents and retrieve the top-k documents.

          -
          -
          Parameters:
          -
            -
          • top_k (int, optional) – The number of top documents to retrieve. Defaults to 5.

          • -
          • model_client (ModelClient) – The model client that has a reranker model, -such as CohereAPIClient or TransformersClient.

          • -
          • model_kwargs (Dict) – The model kwargs to pass to the model client.

          • -
          • documents (Optional[RetrieverDocumentsType], optional) – The documents to build the index from. Defaults to None.

          • -
          • document_map_func (Optional[Callable[[Any], str]], optional) – The function to map the document of Any type to the specific type RetrieverDocumentType that the retriever expects. Defaults to None.

          • -
          -
          -
          -

          Examples:

          -
          -
          -reset_index()[source]#
          -

          Initialize/reset any attributes/states for the index.

          -
          - -
          -
          -build_index_from_documents(documents: Sequence[RetrieverDocumentType], document_map_func: Callable[[Any], str] | None = None)[source]#
          -

          Built index from the [document_map_func(doc) for doc in documents].

          -
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      @@ -376,72 +372,61 @@ @@ -546,50 +534,8 @@
      -
      -

      components.agent.react#

      -

      Implementation of ReAct.

      -

      Classes

      -
      - - - - - -

      ReActAgent([tools, max_steps, ...])

      ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response.

      -
      -
      -
      -class ReActAgent(tools: List[Callable | Callable[[...], Awaitable[Any]] | FunctionTool] = [], max_steps: int = 10, add_llm_as_fallback: bool = True, *, model_client: ModelClient, model_kwargs: Dict = {})[source]#
      -

      Bases: Component

      -

      ReActAgent uses generator as a planner that runs multiple and sequential functional call steps to generate the final response.

      -

      Users need to set up: -- tools: a list of tools to use to complete the task. Each tool is a function or a function tool. -- max_steps: the maximum number of steps the agent can take to complete the task. -- use_llm_as_fallback: a boolean to decide whether to use an additional LLM model as a fallback tool to answer the query. -- model_client: the model client to use to generate the response. -- model_kwargs: the model kwargs to use to generate the response.

      -

      For the generator, the default arguments are: -(1) default prompt: DEFAULT_REACT_AGENT_SYSTEM_PROMPT -(2) default output_processors: JsonParser

      -

      There are examples which is optional, a list of string examples in the prompt.

      -

      Example:

      -

      Reference: -[1] https://arxiv.org/abs/2210.03629, published in Mar, 2023.

      -
      -
      -reset()[source]#
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      Reset the agent to start a new query.

      -
      - -
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      -call(input: str, promt_kwargs: Dict | None = {}, model_kwargs: Dict | None = {}) Any[source]#
      -

      prompt_kwargs: additional prompt kwargs to either replace or add to the preset prompt kwargs.

      -
      - -
      - +
      +

      react#

      @@ -627,36 +573,6 @@ -
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      diff --git a/apis/components/components.data_process.document_splitter.html b/apis/components/components.data_process.document_splitter.html deleted file mode 100644 index 6ea48d98..00000000 --- a/apis/components/components.data_process.document_splitter.html +++ /dev/null @@ -1,502 +0,0 @@ - - - - - - - - - - - document_splitter — LightRAG documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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      document_splitter#

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      - - \ No newline at end of file diff --git a/apis/components/components.data_process.html b/apis/components/components.data_process.html index ade422ce..95fc4623 100644 --- a/apis/components/components.data_process.html +++ b/apis/components/components.data_process.html @@ -30,7 +30,7 @@ - + @@ -52,8 +52,8 @@ - - + + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/components/components.memory.html b/apis/components/components.memory.html index d321704f..7c267117 100644 --- a/apis/components/components.memory.html +++ b/apis/components/components.memory.html @@ -30,7 +30,7 @@ - + @@ -52,8 +52,8 @@ - - + + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/components/components.model_client.html b/apis/components/components.model_client.html index 36becae9..2d0cd4b6 100644 --- a/apis/components/components.model_client.html +++ b/apis/components/components.model_client.html @@ -30,7 +30,7 @@ - + @@ -52,8 +52,8 @@ - - + + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/components/components.output_parsers.html b/apis/components/components.output_parsers.html index 6398bc07..1cd4e6ca 100644 --- a/apis/components/components.output_parsers.html +++ b/apis/components/components.output_parsers.html @@ -30,7 +30,7 @@ - + @@ -52,8 +52,8 @@ - - + + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/components/components.reasoning.html b/apis/components/components.reasoning.html index 8c2102f1..88fec045 100644 --- a/apis/components/components.reasoning.html +++ b/apis/components/components.reasoning.html @@ -30,7 +30,7 @@ - + @@ -52,8 +52,8 @@ - - + + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/components/components.retriever.html b/apis/components/components.retriever.html index 8be448e5..932aec18 100644 --- a/apis/components/components.retriever.html +++ b/apis/components/components.retriever.html @@ -30,7 +30,7 @@ - + @@ -54,8 +54,8 @@ - - + + @@ -378,72 +378,61 @@ - -
      diff --git a/apis/components/index.html b/apis/components/index.html index 07be5647..66993c07 100644 --- a/apis/components/index.html +++ b/apis/components/index.html @@ -30,7 +30,7 @@ - + @@ -54,8 +54,8 @@ - - + + @@ -378,72 +378,61 @@ - -
      diff --git a/apis/eval/eval.answer_match_acc.html b/apis/eval/eval.answer_match_acc.html index 0b7141e5..ba6eaaa5 100644 --- a/apis/eval/eval.answer_match_acc.html +++ b/apis/eval/eval.answer_match_acc.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/eval/eval.evaluators.html b/apis/eval/eval.evaluators.html index 1da2c4ed..5e2349f1 100644 --- a/apis/eval/eval.evaluators.html +++ b/apis/eval/eval.evaluators.html @@ -30,7 +30,7 @@ - + @@ -257,10 +257,6 @@ - -
      @@ -418,8 +414,9 @@
      -
      -

      evaluators#

      +

      _eval-evaluators:

      +
      +

      evaluators#

      @@ -439,20 +436,6 @@ -
      -
      diff --git a/apis/eval/eval.retriever_recall.html b/apis/eval/eval.retriever_recall.html index 508cb8cd..6b5447a5 100644 --- a/apis/eval/eval.retriever_recall.html +++ b/apis/eval/eval.retriever_recall.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/eval/eval.retriever_relevance.html b/apis/eval/eval.retriever_relevance.html index aaefd047..05515032 100644 --- a/apis/eval/eval.retriever_relevance.html +++ b/apis/eval/eval.retriever_relevance.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - -
      diff --git a/apis/eval/index.html b/apis/eval/index.html index 015f4372..43d8dadb 100644 --- a/apis/eval/index.html +++ b/apis/eval/index.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - -
      -

      Evaluator#

      @@ -620,19 +603,9 @@

      Evaluator

      - -
      diff --git a/apis/index.html b/apis/index.html index dccb088b..38212ecb 100644 --- a/apis/index.html +++ b/apis/index.html @@ -30,7 +30,7 @@ - + @@ -378,72 +378,61 @@ - -
      -

      Decorators#

      -
      - -
      -
      -
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      Loggers#

      @@ -623,20 +600,9 @@

      Loggers#< - - diff --git a/apis/tracing/tracing.decorators.html b/apis/tracing/tracing.decorators.html index 5b89096f..78794b0f 100644 --- a/apis/tracing/tracing.decorators.html +++ b/apis/tracing/tracing.decorators.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - - diff --git a/apis/tracing/tracing.generator_call_logger.html b/apis/tracing/tracing.generator_call_logger.html index 10734a6c..2f51945f 100644 --- a/apis/tracing/tracing.generator_call_logger.html +++ b/apis/tracing/tracing.generator_call_logger.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - - diff --git a/apis/tracing/tracing.generator_state_logger.html b/apis/tracing/tracing.generator_state_logger.html index 446aafad..80d93b39 100644 --- a/apis/tracing/tracing.generator_state_logger.html +++ b/apis/tracing/tracing.generator_state_logger.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - - diff --git a/apis/utils/index.html b/apis/utils/index.html index e2e98680..2f1ff71a 100644 --- a/apis/utils/index.html +++ b/apis/utils/index.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - -
      -

      Logger#

      - -
      -
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      Serialization#

      - -
      -
      -

      Setup_env#

      -
      -
      @@ -636,21 +609,9 @@

      Setup_env - - diff --git a/apis/utils/utils.config.html b/apis/utils/utils.config.html index d8943e5a..6f4545e8 100644 --- a/apis/utils/utils.config.html +++ b/apis/utils/utils.config.html @@ -30,7 +30,7 @@ - + @@ -52,6 +52,8 @@ + + @@ -168,7 +170,7 @@ - - + + + + + + @@ -537,6 +652,24 @@ @@ -560,15 +693,6 @@ - - diff --git a/apis/utils/utils.file_io.html b/apis/utils/utils.file_io.html index fc9c3618..819bd9bc 100644 --- a/apis/utils/utils.file_io.html +++ b/apis/utils/utils.file_io.html @@ -30,7 +30,7 @@ - + @@ -572,15 +572,6 @@ - - diff --git a/apis/utils/utils.lazy_import.html b/apis/utils/utils.lazy_import.html index b5dc53b5..cd498a1d 100644 --- a/apis/utils/utils.lazy_import.html +++ b/apis/utils/utils.lazy_import.html @@ -30,7 +30,7 @@ - + @@ -52,6 +52,7 @@ + @@ -168,7 +169,7 @@ - - + + + + + + @@ -514,6 +628,15 @@ @@ -550,15 +673,6 @@ - - diff --git a/apis/utils/utils.logger.html b/apis/utils/utils.logger.html index 5d6f5b8b..b1b0b61b 100644 --- a/apis/utils/utils.logger.html +++ b/apis/utils/utils.logger.html @@ -30,7 +30,7 @@ - + @@ -376,72 +376,61 @@ - - diff --git a/apis/utils/utils.registry.html b/apis/utils/utils.registry.html index 20ae1ee0..2198c25e 100644 --- a/apis/utils/utils.registry.html +++ b/apis/utils/utils.registry.html @@ -30,7 +30,7 @@ - + @@ -52,6 +52,8 @@ + + @@ -168,7 +170,7 @@ - - + + + + + + @@ -455,6 +570,24 @@ @@ -482,15 +615,6 @@ - - diff --git a/apis/utils/utils.serialization.html b/apis/utils/utils.serialization.html index 8068068c..013f685c 100644 --- a/apis/utils/utils.serialization.html +++ b/apis/utils/utils.serialization.html @@ -30,7 +30,7 @@ - + @@ -52,7 +52,7 @@ - + @@ -376,72 +376,61 @@

      next

      -

      setup_env

      +

      config

      @@ -683,15 +675,6 @@ - - diff --git a/apis/utils/utils.setup_env.html b/apis/utils/utils.setup_env.html index 1d3d3c12..b5d47c80 100644 --- a/apis/utils/utils.setup_env.html +++ b/apis/utils/utils.setup_env.html @@ -30,7 +30,7 @@ - + @@ -52,7 +52,8 @@ - + + @@ -375,72 +376,61 @@ - - diff --git a/contributor/contribute_to_document.html b/contributor/contribute_to_document.html index 0505d990..6cbe41ff 100644 --- a/contributor/contribute_to_document.html +++ b/contributor/contribute_to_document.html @@ -30,7 +30,7 @@ - + @@ -548,15 +548,6 @@

      Commit Changes - - diff --git a/contributor/contribution_guide.html b/contributor/contribution_guide.html index fdc75f1e..4fdd4c4b 100644 --- a/contributor/contribution_guide.html +++ b/contributor/contribution_guide.html @@ -30,7 +30,7 @@ - + @@ -257,10 +257,6 @@ - - @@ -450,20 +446,6 @@

      LightRAG Contribution Guide -
      diff --git a/contributor/index.html b/contributor/index.html index 49bd7f59..1f449c6b 100644 --- a/contributor/index.html +++ b/contributor/index.html @@ -30,7 +30,7 @@ - + @@ -257,10 +257,6 @@ - - @@ -448,20 +444,6 @@

      For Contributors -
      diff --git a/developer_notes/agent.html b/developer_notes/agent.html index 49be4e94..90cf1813 100644 --- a/developer_notes/agent.html +++ b/developer_notes/agent.html @@ -30,7 +30,7 @@ - + @@ -259,10 +259,6 @@ - - @@ -531,20 +527,6 @@

      Agent#< -
      -
      diff --git a/developer_notes/base_data_class.html b/developer_notes/base_data_class.html index 2877c8be..6aad960e 100644 --- a/developer_notes/base_data_class.html +++ b/developer_notes/base_data_class.html @@ -30,7 +30,7 @@ - + @@ -953,15 +953,6 @@

      Load data from dataset as example - - - - diff --git a/developer_notes/class_hierarchy.html b/developer_notes/class_hierarchy.html index 10eeea41..b78ccc8f 100644 --- a/developer_notes/class_hierarchy.html +++ b/developer_notes/class_hierarchy.html @@ -30,7 +30,7 @@ - + @@ -259,10 +259,6 @@ - - @@ -474,7 +470,7 @@

      Class Hierarchy#

      -

      From the plot of the LightRAG library’s class hierarchy, we can see the library is well-centered around two base classes: Component and DataClass, and it maintains a class inheritance hierarchy with no more than two levels. +

      From the plot of the LightRAG library’s class hierarchy, we can see the library is well-centered around two powerful base classes: Component and DataClass, and it maintains no more than two levels of class hierarchy. This design philosophy results in a library with bare minimum abstraction, providing developers with maximum customizability.

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