Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
Towards Data Science
The article argues that most hallucinations in Retrieval-Augmented Generation (RAG) systems stem from retrieval failures rather than the generative model itself. It emphasizes that fixing the retrieval component is crucial, as poor retrieval leads to missing or incorrect context, which the model then invents. The piece advocates for improving the 'retrieval brick' to reduce hallucinations and enhance document intelligence.
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