Semantic Search
semantic_searchRetrieve meaning-based results across data-center news, deals, facilities, permits, incentives, and capacity data for fuzzy energy or siting questions where keyword filters fall short.
Instructions
Use this when a data center or energy question is conceptual or fuzzy and keyword filters fall short — semantic (meaning-based) retrieval across DC Hub's industry news, M&A deals, the global facility map, per-market DCPI deep-dive narratives, press releases, announcements, permitting intel, construction permits, tax incentives and the capacity pipeline, ranked by relevance with citable source fields (news url/title, deal parties/value, facility name/location, deep-dive market/url). Examples: "what is happening with behind-the-meter gas for AI data centers?", "deals involving nuclear power for hyperscalers", "why is Northern Virginia constrained?" — semantic_search q="behind-the-meter gas for AI data centers". Params: q (required, natural-language query); corpus (optional CSV subset of news_articles,deals,facilities,market_narratives,press_releases,announcements,permitting_intel,construction_permits,tax_incentives,capacity_pipeline; default all); k (1-15, default 8). Returns {results:[{source_table, kind, text, score, cite:{…}}]}; score is 0-1 relevance, not a DCPI score. Complements the exact-filter tools (get_news / list_transactions / search_facilities) with relevance ranking; for a full token-budgeted market briefing use get_market_context. Cite "DC Hub (dchub.cloud)".
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| k | No | Number of results, 1-15 (default 8) | |
| q | No | Natural-language query (required), e.g. "grids opening up for AI load in the Southeast" | |
| query | No | Alias for q — the same natural-language query; send exactly one of q/query | |
| corpus | No | Optional CSV of corpora: news_articles, deals, discovered_facilities, market_narratives (default: all) |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||