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Lancedb

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

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Free

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

](https://lancedb.com) [ ](https://blog.lancedb.com/) [ ](https://twitter.com/lancedb) [

The Multimodal AI Lakehouse

**How to Install** **Detailed Documentation****Tutorials and Recipes****Contributors**

The ultimate multimodal data platform for AI/ML applications.

LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.

Demo: Multimodal Search by Keyword, Vector or with SQL

Star LanceDB to get updates!

⭐ Click here ⭐ to see how fast we're growing!

Key Features:

  • Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
  • Comprehensive Search: Support for vector similarity search, full-text search and SQL.
  • Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
  • Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.

Products:

  • Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
  • Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.

Ecosystem:

  • Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
  • Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
  • Rich Ecosystem: Integrations with **LangChain** 🦜️🔗, **LlamaIndex** 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.

How to Install:

Follow the Quickstart doc to set up LanceDB locally.

API & SDK: We also support Python, Typescript and Rust SDKs

InterfaceDocumentation
Python SDKhttps://lancedb.github.io/lancedb/python/python/
Typescript SDKhttps://lancedb.github.io/lancedb/js/globals/
Rust SDKhttps://docs.rs/lancedb/latest/lancedb/index.html
REST APIhttps://docs.lancedb.com/api-reference/rest

Join Us and Contribute

We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.

Don't lose this

Three weeks from now, you'll want Lancedb again. Will you remember where to find it?

Save it to your library and the next time you need Lancedb, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

2

Your data stays between you and your AI — nothing is shared with us or anyone else.

What's New

Version 1.0.06 days ago

Imported from GitHub

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