Introduction Retrieval-Augmented Generation (RAG) systems have become a core architecture for enterprise AI applications, powering everything from internal knowledge assistants to customer support bots and research copilots. However, as RAG pipelines grow in complexity, evaluating their performance reliably has become one of the hardest engineering challenges in AI. RAG evaluation and benchmarking tools solve this Read More