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Why RAG fails in production — and where
When RAG breaks, the model usually isn't the problem — retrieval is, about 73% of the time. Here's the real failure map and what to fix first.
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#production
6 posts.
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Why I don't use LangChain in production RAG
Frameworks are great for a demo. In production, the abstraction you can't see into costs more than it saves.
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A reference architecture for production RAG
The stages every production RAG system needs — indexing, query-time retrieval, and always-on evaluation — and how to order them.
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Naive retrieve-then-generate isn't enough for production
The 5-line RAG baseline is great for a demo and fragile in production. Here's where it breaks and the upgrade path that fixes it.
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How to reduce RAG hallucinations: a practical checklist
Most RAG hallucinations are retrieval bugs in disguise. A concrete checklist to cut them — grounding, retrieval quality, and faithfulness checks.
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How to debug a RAG pipeline that returns wrong answers
A step-by-step debug order for bad RAG answers — start with the assembled prompt, not the model. Most bugs are retrieval, not generation.
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