Retrieval-Augmented Generation Assessment Score is a framework for evaluating Retrieval-Augmented Generation (RAG) systems based on key metrics such as relevance, faithfulness, and answer correctness. It helps measure the effectiveness of retrieval and generation components, ensuring high-quality AI-generated responses.
Ragas is a library that provides tools to supercharge the evaluation of Large Language Model (LLM) applications. It is designed to help you evaluate your LLM applications with ease and confidence.