Evaluating RAG: Retrieval Metrics That Predict Answer Quality
This story is from 2026-10-02. It is preserved in the archive; the latest stories are on the live feed.
A RAG (retrieval-augmented generation) pipeline lives or dies on whether the retriever finds the right evidence. The metrics that actually predict answer quality are recall under your token budget, context recall, and faithfulness. Precision and F1 can be misleading. An eval harness built around th…
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- 2026-10-02 13:00 · DEV Community — AI
Evaluating RAG: Retrieval Metrics That Predict Answer Quality