Brendan Clement e85f1b4434 docs: declare where the search pages apply ...

Search, full-text search, hybrid search, filtering, query plans and
reranking all work in the embedded library and against a deployment, and
now say so. Where the two differ, the section says how: a deployment
returns a query's whole result in one response, the synchronous Python
remote table refuses to_pandas, to_arrow and to_lance, probe widening
depends on the deployment's version, full-text indexes build in the
background and are kept current without optimize(), distributed scoring
can differ slightly, model files have to be present on the deployment,
plans carry deployment operators, and hybrid explain_plan is Python only.
Reranking runs in the application either way.

2026-10-08 21:31:25 -07:00

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index.mdx

docs: declare where the search pages apply

2026-10-08 21:31:25 -07:00