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lancedb/docs/web/enterprise/distributed-search.mdx
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LuQQiu b762ec221b docs: add Enterprise distributed search reference page (#4625)
Adds the Enterprise reference page at
`docs/web/enterprise/distributed-search.mdx`, following the same
arrangement as Enterprise architecture. The page describes distributed
search and the embedded execution model, with links to shared search
guides. Enterprise architecture links to it, and the official sidebar
lists it immediately after Architecture in the existing Deployment
group.

Adds stable anchors for the RaBitQ and `approx_mode` sections linked by
the Enterprise guide.

Companion: https://github.com/lancedb/sophon/pull/8986 supplies the
detailed Enterprise overlay at the same path. Merge this reference-page
PR first so the overlay has an existing route to replace.

Validation:
- Combined-site assembly with both PR branches passed (309 files).
- Mintlify build validation and link, anchor, and redirect checks
passed.
2026-10-23 10:06:20 -07:00

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---
title: "Distributed search"
sidebarTitle: "Distributed search"
description: "How LanceDB Enterprise distributes index execution and table-data reads."
icon: "network-wired"
availability:
oss: unavailable
enterprise: available
summary: >-
LanceDB Enterprise distributes index execution and table-data reads across
plan executors. Embedded LanceDB executes searches in the application process.
---
Distributed search spreads index execution, table-data reads, and caching across
multiple serving machines in LanceDB Enterprise. Query nodes plan queries and
combine results. Plan executors cache index structures and table data and execute
the remote work. See [Enterprise architecture](/enterprise/architecture).
## Embedded search {#embedded-search}
LanceDB OSS runs inside your application process. It searches indexes and reads
table data using that process's resources, including its index cache. Reading a
table from object storage does not by itself distribute query execution across
machines.
## Search interfaces {#search-interfaces}
The shared search guides describe the query APIs and index settings:
- [Vector search](/search/vector-search) and [vector indexes](/indexing/vector-index).
- [Full-text search](/search/full-text-search) and [FTS indexes](/indexing/fts-index).
- [Filtering](/search/filtering) and [scalar indexes](/indexing/scalar-index).
- [Query plans](/search/explain) for inspecting execution and runtime measurements.