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In the Helpdesk Copilot architecture, why does production retrieval combine sparse lexical search (BM25) with dense semantic embeddings rather than relying solely on dense vectors?

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intermediate 45 min

Day 11: Add Knowledge Retrieval to the Product

Add Knowledge Retrieval to the Product

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Consider this Reciprocal Rank Fusion implementation from the Helpdesk Copilot retrieval module. What is the primary purpose of the smoothing constant k = 60 in the scoring formula?

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When ingesting complex IT runbooks containing multi-step command sequences and prerequisite headings, which chunking strategy best preserves procedural troubleshooting context while maintaining retrieval accuracy?

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