// Hacker Noon · 29 January 2026

RAG is a Data Problem Pretending to Be AI

Retrieval-Augmented Generation fails most often not because LLMs “hallucinate,” but because retrieval pipelines return incomplete, stale, or irrelevant context—due to weak chunking, naive ranking, missing metadata/ACLs, and lack of evaluation—so reliable RAG requires treating it like search + ETL wi...

Hacker Noon

@hacker-noon · David Iyanuoluwa Jonathan

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