Lancedb

LanceDB provides an embedded retrieval library for multimodal AI applications.

github.com/lancedb/lancedb
Lancedb homepage screenshot

About Lancedb

LanceDB is an open source, embedded retrieval library for multimodal AI applications. It is built on the Lance columnar format and is intended for storing, indexing and searching vectors and multimodal data, such as text, images and videos. The project is hosted on GitHub and is licensed under Apache-2.0. Developers can use Python, Node.js, Rust and REST APIs to integrate it.

The homepage describes a cloud and enterprise offering in addition to the open source library, but it does not state pricing. The source lists the pricing status as unknown. The homepage also describes data sovereignty and security for the cloud offering. This entry does not verify those claims.

Key features

  • Vector similarity search, full-text search and SQL queries
  • Storage, querying and filtering of vectors, metadata and multimodal data
  • Built on the Lance columnar format for storage and analytics
  • Automatic data versioning without additional infrastructure
  • GPU support for building vector indexes
  • Python, Node.js, Rust and REST API integration options
Best for: Developers building multimodal AI applications who want an open source retrieval library that can run locally or in their own cloud.
Good for
  • Open source under the Apache-2.0 license
  • Can run locally or in the user's own cloud
  • Supports several languages and a REST API
Watch out for
  • Some integrations are described as coming later, not as currently available
  • Pricing for the cloud and enterprise offering is not stated

Lancedb at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Lancedb FAQ

Is LanceDB open source?
Yes. The repository lists the Apache-2.0 license and describes the project as 100% open source.
Can LanceDB run without a cloud service?
The homepage says it runs locally or in your cloud, and describes it as an embedded library.
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