What is RAGAS?

RAGAS (Retrieval Augmented Generation Assessment) is a framework for evaluating the performance of Retrieval Augmented Generation (RAG) pipelines. It uses metrics to assess various aspects of RAG systems, such as answer correctness, faithfulness to the context, context relevance, and answer quality. RAGAS helps developers identify bottlenecks in their RAG pipelines and improve their overall performance by providing quantitative measurements of the pipeline's strengths and weaknesses.