fix: update databricks-vector-search skill with search modes and operations docs#318
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…ations docs Add two new reference files and update existing docs for the databricks-vector-search skill: - search-modes.md: ANN vs HYBRID vs FULL_TEXT decision guide, filter combinations, self-managed embedding patterns - troubleshooting-and-operations.md: endpoint/index monitoring, cost optimization, capacity planning, migration workflows - SKILL.md: expand hybrid search section, add reference file links, update latency numbers and filter syntax - end-to-end-rag.md: align filter parameter names with databricks-vectorsearch package Co-authored-by: Isaac
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Summary
search-modes.md: ANN vs HYBRID vs FULL_TEXT decision guide, filter combinations, self-managed embedding patternstroubleshooting-and-operations.md: endpoint/index monitoring, cost optimization, capacity planning, migration workflowsSKILL.md: expand hybrid search section, add reference file links, update latency numbers and filter syntax fordatabricks-vectorsearchpackageend-to-end-rag.md: align filter parameter names withdatabricks-vectorsearchpackageContext
The
databricks-vector-searchskill had a bare 5-line hybrid search snippet with no explanation, and no guidance on production operations. This PR adds two on-demand reference files (zero context bloat) and makes small fixes to existing docs to align filter parameter names with thedatabricks-vectorsearchpackage API surface.Test plan
indexes.pyandvector_search.pyThis pull request was AI-assisted by Isaac.