70How do you measure faithfulness (hallucination rate) in a RAG system, and what makes it hard to score?▼mediumAnthropicCohereDatabricks1 replies◆ premiumAn answer can be correct and still unfaithful, stating things the retrieved context never said. The signal is scoring faithfulness against the context, not against truth, and knowing why LLM-judge faithfulness scores drift.Open full answer →
71Context precision versus context recall: which do you optimize, and how do they trade off in RAG?▼mediumCohereGleanDatabricks2 replies◆ premiumCranking up top-k raises recall but drowns the answer in noise, and a tight reranker raises precision but can drop the one chunk you needed. The signal is knowing which metric caps the system and how to move both with a retrieve-wide-then-rerank shape.Open full answer →
