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RAG system errors often stem from retrieval failures, not model hallucinations. The model faithfully summarizes wrong context provided by retrieval. Common retrieval bugs include naive chunking, embedding mismatch, missing rerankers, and no retrieval evaluation. Measuring recall@k and MRR catches these issues before they reach the answer-level eval.
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