RAG: A Data Problem Disguised as AI

RAG systems fail because of broken data pipelines, not bad models. Poor chunking orphans meaning. Stale indexes serve outdated answers. Missing metadata can’t filter irrelevant results. Fix Monday: audit your corpus completeness, rebuild indexes regularly, and measure retrieval recall before blaming the LLM. RAG is search with a generative frontend—treat it like one.

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