Evaluating Retrieval-Augmented Generation: Why End-to-End Accuracy Hides the Real Failures
A retrieval-augmented generation system, usually shortened to RAG, can give the right answer for the wrong reason. It can retrieve the wrong passage, ignore the passage it retrieved, and still land on a correct-looking answer because the language model already knew it. It can also retrieve exactly…
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- 2026-10-30 01:58 · DEV Community — Machine Learning
Evaluating Retrieval-Augmented Generation: Why End-to-End Accuracy Hides the Real Failures
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