Retrieval Evaluation overview

Measuring and improving RAG pipeline quality — evaluation metrics (faithfulness, answer relevance, context precision, context recall), evaluation frameworks (Ragas, DeepEval, TruLens), building golden evaluation datasets, A/B testing retrieval configurations, monitoring retrieval quality in production, and the distinction between component-level evaluation (retriever quality) and end-to-end evaluation (final answer quality).