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Jack YeandClaude Sonnet 5
b32afe9794
## Summary - Adds a new top-level "Introduction" nav section before "Getting Started": LanceDB, LanceDB Embedded, LanceDB Enterprise, Embedded vs Enterprise. - Trims the landing page's combined Architecture/Embedded/Enterprise/Compare block down to a short pointer section (keeping its `#architecture` anchor), moving that content into two new pages: `basics/lancedb-embedded.mdx` and `basics/embedded-vs-enterprise.mdx`. - `basics/embedded-vs-enterprise.mdx` consolidates the feature-comparison table and the Enterprise overview's own comparison content (previously duplicated across multiple pages and, within this page, repeated across a dimension table, several narrative subsections, and a usage-differences list) into one comparison page with each section covering a distinct angle. - Repoints the `/enterprise` and `/enterprise/deployment` redirects at `/basics/embedded-vs-enterprise`, since the previous destination only resolves once the Enterprise overlay is applied and fails `rust/lancedb/src/docs.rs`'s link-resolution test against this repo's own `docs/web` tree. ## Companion change lancedb/sophon#9718 trims the Enterprise overview page to drop the content that moved here, and relocates its nav insertion into the new Introduction group. Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
47 lines
2.5 KiB
Plaintext
47 lines
2.5 KiB
Plaintext
---
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title: "LanceDB Embedded"
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sidebarTitle: "LanceDB Embedded"
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description: "The open-source, embedded retrieval library that runs inside your application process."
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icon: cube
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keywords: ["embedded", "open source", "oss", "local", "sdk", "lancedb embedded"]
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---
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**LanceDB Embedded** is an open-source, embedded retrieval library, with client SDKs in Python, TypeScript and
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Rust -- the application itself plans queries, builds indexes, and runs background work, with no separate database
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server to deploy. It reads and writes tables on local disk or in object storage from inside your application
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process, on the same [Lance](/basics/lance) format and table model that [LanceDB Enterprise](/enterprise/index)
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builds on.
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<Frame caption="LanceDB Embedded: the LanceDB SDK and the Lance format run in your application, reading and writing tables on local disk or in object storage.">
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<img src="/static/assets/images/overview/lancedb-embedded.png" alt="LanceDB Embedded architecture" width="440" />
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</Frame>
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## Why use LanceDB Embedded? {#why-use-lancedb-embedded}
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LanceDB Embedded fits local retrieval applications, notebooks, development, and single-node data pipelines, where
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your application controls its own compute resources and [table maintenance](/maintenance/compaction).
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- **No infrastructure to run** -- the library runs inside your process. There is no server to deploy, configure,
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or keep available.
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- **Free and open source** -- `pip install lancedb` (or the TypeScript or Rust equivalent) and start reading and
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writing tables, with no account or service to set up first.
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- **Full local control** -- your application decides where table data lives, when maintenance such as compaction
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and indexing runs, and how much compute each operation gets.
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- **The same table format as Enterprise** -- Embedded and [Enterprise](/enterprise/index) share the same Lance
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format and table model, so moving to a distributed deployment later does not require a data conversion step.
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## Get started {#get-started}
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<CardGroup cols={2}>
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<Card title="Quickstart" icon="rocket" href="/quickstart">
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Create a table, add data, and run your first search in a few lines of code.
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</Card>
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<Card title="Choose an SDK" icon="code-compare" href="/basics/sdk">
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Pick between the Python, TypeScript, and Rust SDKs.
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</Card>
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</CardGroup>
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When your data or traffic outgrows a single machine, or you need managed infrastructure, private deployment, or
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platform support, see [LanceDB Enterprise](/enterprise/index) and the
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[feature-by-feature comparison](/basics/embedded-vs-enterprise).
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