How to Evaluate RAG Retrieval in 2026: Question Sets, Metrics That Mislead, and a Practical Recipe
Many RAG failures get blamed on "the LLM" when the generator never had a chance: the passage it needed was not in the context, or it was buried under near-duplicates. Retrieval deserves its own evaluation. It is also easy to get wrong, because the score depends on what you call "relevant", how you…
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- 2026-11-06 05:41 · DEV Community — Machine Learning
How to Evaluate RAG Retrieval in 2026: Question Sets, Metrics That Mislead, and a Practical Recipe