update read me

README.md

@@ -24,7 +24,8 @@ LLMs are like water; they can be shaped into anything, from GenAI applications s
 
 Because of this, no library can provide out-of-the-box solutions. Users must build toward their own use case. This requires the library to be modular, robust, and have a clean, readable codebase. The only code you should put into production is code you either 100% trust or are 100% clear about how to customize and iterate.
 
-LightRAG is born to be light, modular, and robust, with a 100% readable codebase.
+This is what LightRAG is: light, modular, and robust, with a 100% readable codebase.
+
 
 Further reading: [Introduction](https://lightrag.sylph.ai/), [Design Philosophy](https://lightrag.sylph.ai/tutorials/lightrag_design_philosophy.html) and [Class hierarchy](https://lightrag.sylph.ai/tutorials/class_hierarchy.html).