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RAG in production is often poorly designed: diagnosing and fixing its flaws

Retrieval-Augmented Generation systems deployed in enterprises suffer from structural defects causing hallucinations and inaccurate answers.

Published 15sem1 sourceNotable
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The seventh part of a technical series details how to identify and fix weaknesses (chunking, indexing, ranking).

Critical analysis shows many teams build RAG without understanding its fundamental limitations.

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Auto-synthesis from 1 media source · identified on April 24, 2026
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