Why dense and sparse retrieval disagree, why fusing ranks beats blending scores, and what a 20-question evaluation set revealed about a B2B sales-intelligence prototype.
Hybrid retrieval with reciprocal rank fusion: notes from a RAG prototype
Why dense and sparse retrieval disagree, why fusing ranks beats blending scores, and what a 20-question evaluation set revealed about a B2B sales-intelligence prototype.
Author: Cyrus Wong (黃俊彥) — Google Developer Expert - Cloud (AI), Senior Lecturer at HKIIT ...
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A practical toolkit for evaluating LLM features: golden datasets, scored metrics, safety tests, CI gates, and production monitoring.