Evaluating RAG Systems: Measuring Retrieval Quality, Grounding, and Hallucinations

The article delves into the complexities of evaluating Retrieval-Augmented Generation (RAG) systems, emphasizing that issues such as hallucinations may not solely stem from the language model itself but can also arise from the retrieval process. It highlights the importance of understanding the interaction between the retriever and the language model, suggesting that failures can occur at multiple stages of the RAG pipeline. Proper evaluation methods are crucial to accurately diagnose and address these challenges.