Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It).

# AI Systems Can Sound Confident While Being Completely Wrong If your company uses AI to answer questions by searching through documents, here's a hidden problem: the system might pull up the *right* documents but still give you the wrong answer because those documents contradict each other, and the AI just picks one without warning you. A researcher built a test that proves this happens silently in real-world situations, and showed how to catch and fix it without needing extra computing power or fancy upgrades.
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 co
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