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RAG Retrieval Accuracy: 38%. After the Fix: 87%. The Model Was Never Touched.
That's a rebuild I shipped. The system: a RAG assistant for fraud analysts — ask it "how do we handle card testing followed by a successful auth?" and it should answer from the team's own SOPs and case history. The complaint: the answers were wrong, therefore the model must be dumb, therefore procurement should buy a bigger model.
The model was fine. It was answering perfectly — from garbage context. Walk the forensic trail with me, because every step is checkable on your own system this week...
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