Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring recall@k, precision@k, MRR, and nDCG.
Making RAG Accurate in Python
Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring recall@k, precision@k, MRR, and nDCG.
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Seven months ago Anthropic claimed thousands of high-severity AI-discovered bugs. The independent audit is in: 37,966 findings, 7,349 public, 217 fixed, and an October scanner that...