Evaluating RAG Systems in 2026 — Retrieval Quality, Faithfulness, and the Metrics That Matter
How to actually evaluate RAG: retrieval recall and MRR, answer faithfulness and relevance, golden datasets, automated eval pipelines, and Ragas.
How to actually evaluate RAG: retrieval recall and MRR, answer faithfulness and relevance, golden datasets, automated eval pipelines, and Ragas.
Comparison of LLM eval frameworks: Braintrust (ship-eval-with-code), LangSmith (LangChain-native), Ragas (RAG-specific), DeepEval (Pytest-style). Which to pick by team.