Ragas

Ragas is the open-source evaluation framework for Retrieval-Augmented Generation (RAG) systems: it quantifies LLM performance using objective, reference-free metrics.

Ragas is your essential toolkit for rigorous LLM application evaluation, specializing in Retrieval-Augmented Generation (RAG) pipelines. It employs LLM-assisted methods to generate objective, quantifiable scores, eliminating time-consuming manual assessments. Key metrics include **Faithfulness**, **Context Precision**, and **Answer Relevance**, directly addressing hallucination and grounding issues. The framework integrates seamlessly with popular tools like **LangChain** and **LlamaIndex**, supporting efficient, data-driven workflows. Use Ragas to automate test data generation and establish continuous feedback loops for systematic RAG optimization.

https://ragas.io/