Master RAG Evaluation with RAGAS
In recent years, Retrieval-Augmented Generation (RAG) has become one of the go-to architectures for enterprises building AI assistants, knowledge search systems, and domain-specific agents. As companies ingest more documents, RAG systems grow complex — with custom retrievers, vector stores, and prompt engineering. To ensure the RAG pipeline performs well and returns results without hallucinations, the…