diff --git a/README.md b/README.md
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+++ b/README.md
@@ -365,6 +365,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [Ragas](https://github.com/explodinggradients/ragas) ![](https://img.shields.io/github/stars/explodinggradients/ragas.svg?style=social) - Ragas is a framework to evaluate RAG pipelines.
 * [RAGChecker](https://github.com/amazon-science/RAGChecker) ![](https://img.shields.io/github/stars/amazon-science/RAGChecker.svg?style=social) - RAGChecker is an advanced automatic evaluation framework designed to assess and diagnose Retrieval-Augmented Generation (RAG) systems.
 * [Rageval](https://github.com/gomate-community/rageval) ![](https://img.shields.io/github/stars/gomate-community/rageval.svg?style=social) - Rageval is a tool to evaluate RAG system.
+* [RefChecker](https://github.com/amazon-science/RefChecker) ![](https://img.shields.io/github/stars/amazon-science/RefChecker.svg?style=social) - RefChecker provides a standardized assessment framework to identify subtle hallucinations present in the outputs of large language models (LLMs).
 * [RewardBench](https://github.com/allenai/reward-bench) ![](https://img.shields.io/github/stars/allenai/reward-bench.svg?style=social) - RewardBench is a benchmark designed to evaluate the capabilities and safety of reward models.
 * [TensorFlow Model Analysis](https://github.com/tensorflow/model-analysis) ![](https://img.shields.io/github/stars/tensorflow/model-analysis.svg?style=social) - TensorFlow Model Analysis (TFMA) is a library for evaluating TensorFlow models on large amounts of data in a distributed manner, using the same metrics defined in their trainer.
 * [Tonic Validate](https://github.com/TonicAI/tonic_validate) ![](https://img.shields.io/github/stars/TonicAI/tonic_validate.svg?style=social) - Tonic Validate is a high-performance evaluation framework for LLM/RAG outputs.