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What distinct capability does an inverted index using Okapi BM25 provide in a hybrid RAG pipeline that dense vector embeddings systematically fail to deliver?
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intermediate 45 min
Day 10: Add Lexical Retrieval for Exact Terms
Add Lexical Retrieval for Exact Terms
Based on Anthropic Claude documentation and the CCA-F exam blueprint. Updated August 2026.
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Why is the specialized regex token analyzer above superior to standard punctuation-stripping whitespace tokenizers when indexing FieldDesk hardware manuals?
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In PolicyDesk, an auditor searches for 'Record retention requirements under SEC Rule 17a-4(f)'. In the Okapi BM25 scoring function, parameter k1 controls term frequency saturation and b controls document length penalization. When chunks are uniform 400-token passages, what is the effect of tuning k1 from 2.5 down to 1.2?
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