RAGAS

Open-source framework for evaluating Retrieval-Augmented Generation (RAG) pipelines using LLM-assisted metrics. Provides automated metrics like faithfulness, answer relevancy, context precision, and context recall without requiring large human-labeled datasets. Best suited for developers building RAG applications who need systematic evaluation and synthetic test data generation.