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How I Think About RAG Evaluation: From Retrieval Metrics to Production Decisions

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

A RAG system can retrieve a relevant document, produce a fluent answer, attach a citation, and still give the user the wrong advice. Consider an internal policy assistant. An employee asks: Can I expense a $180 hotel stay in Berlin next month? The system retrieves a travel policy and answers yes. T…

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  1. 2026-10-29 13:50 · DEV Community — Machine Learning
    How I Think About RAG Evaluation: From Retrieval Metrics to Production Decisions

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