DevTowards Data Scienceabout 2 hours ago
Why RAG Complexity Should Be Earned
1 min read
RAG systems often add query rewriting, reranking, and agents before evaluating retrieval itself. Lexical retrieval like BM25 remains competitive, especially for identifiers. A 2026 benchmark of 23,088 financial questions found hybrid retrieval with neural reranking achieved Recall@5 of 0.816, outperforming single-stage methods. Complexity should address demonstrated retrieval failure modes.
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