Description
Audience: research & intel teams, RAG/ranking engineers, growth analysts.
What you get: 40+ query recipes (discovery sweep, long‑tail, event trace, expert graph), design canvases (goal→entities→operators→filters→stop criteria), precision/recall tuning playbooks, validation harness (gold sets, confusion grids), portable JSON/CSV/MD assets.
Architecture: engine‑agnostic (Google PSE, Elastic/Lucene, OpenSearch, Meilisearch); hybrid sparse+dense re‑ranking and RAG warm‑ups.
Workflow: objective → entity decomp → operators/filters → batch run → score vs. gold → adjust boosts/negatives → lock query v1.0.
KPIs: Recall@K, Precision@K, coverage delta, time‑to‑insight. Guardrails: bias checks, stale‑date mitigation, duplication collapse.

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