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Description

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

README

LanceDB Cloud Public Beta

LanceDB WebsiteBlogDiscordTwitterLinkedInLanceDB

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

LanceDB Multimodal Search

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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 šŸ¦œļøšŸ”—, LlamaIndex šŸ¦™, 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

Interface Documentation
Python SDK https://lancedb.github.io/lancedb/python/python/
Typescript SDK https://lancedb.github.io/lancedb/js/globals/
Rust SDK https://docs.rs/lancedb/latest/lancedb/index.html
REST API https://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.

If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.

Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.

Contributors

Stay in Touch With Us


WebsiteBlogDiscordTwitterLinkedInRelease History

VersionChangesUrgencyDate
v0.28.0-beta.9## šŸ› Bug Fixes - fix(node): prevent reranker from keeping process alive by @snigenigmatic in https://github.com/lancedb/lancedb/pull/3270 - fix(rust): materialize declared namespace tables on create by @jackye1995 in https://github.com/lancedb/lancedb/pull/3288 High4/19/2026
v0.28.0-beta.8## šŸ› Bug Fixes - fix(python): use namespace-backed rust connection for namespace tables by @jackye1995 in https://github.com/lancedb/lancedb/pull/3286 High4/19/2026
python-v0.31.0-beta.5## šŸŽ‰ New Features - feat(python): support child namepsace operations and json serialization for LanceDBConnection by @jackye1995 in https://github.com/lancedb/lancedb/pull/3265 High4/12/2026
v0.28.0-beta.2## šŸŽ‰ New Features - feat: add user_id field to ClientConfig for user identification by @jackye1995 in https://github.com/lancedb/lancedb/pull/3240 ## šŸ› Bug Fixes - fix(python): sanitize bad vectors before Arrow cast by @myandpr in https://github.com/lancedb/lancedb/pull/3158 - fix(python): guard against None before .decode() on split_names metadata key by @lennylxx in https://github.com/lancedb/lancedb/pull/3229 - fix(python): migrate gemini-text provider to google-genai sdk by @DhruvGarg11High4/11/2026
python-v0.31.0-beta.1## šŸŽ‰ New Features - feat(python): support Enum types in Pydantic to Arrow schema conversion by @Zelys-DFKH in https://github.com/lancedb/lancedb/pull/3232 High4/5/2026

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