Your RAG system is retrieving the right documents with perfect scores — yet it still confidently returns the wrong answer.
I built a 220 MB local experiment that proves the hidden failure mode almost nobody talks about: conflicting context in the same retrieval window. Two contradictory documents come back, the model picks one, and you get a fluent but incorrect response with zero warning.
This article shows exactly why it happens, the three production scenarios where it silently breaks, and the tiny pipeline layer that fixes it — no extra model, no GPU, no API key required.
The system behaved exactly as designed. The answer was still wrong.
The post Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It). appeared first on Towards Data Science.
