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When RAG Produces Irrelevant Answers: Inspect Vectors First, Then Blame the LLM

This story is from 2026-09-28. It is preserved in the archive; the latest stories are on the live feed.

Introduction In an ebook Q&A project, developers encountered a confusing failure case. The top-5 retrieved results were all image references like [../Images/9.jpg] , with a similarity score of 0.08. The large language model generated seemingly professional responses using its built-in parametric kn…

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  1. 2026-09-28 09:12 · DEV Community — AI
    When RAG Produces Irrelevant Answers: Inspect Vectors First, Then Blame the LLM

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