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When RAG Gets Bigger, Accuracy Doesn't Always Get Better

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

The first time a RAG system gets a large knowledge base, it often does not fail loudly. It gets subtly worse. The answers still sound plausible. The retrieved chunks still look related. The model still cites documents. But users start asking the same question twice, support tickets rise, and the te…

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  1. 2026-09-09 17:27 · DEV Community — AI
    When RAG Gets Bigger, Accuracy Doesn't Always Get Better

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