Search AI application data with Infinity, a database supporting vectors, tensors, and full-text queries.
Lancedb
LanceDB provides an embedded retrieval library for multimodal AI applications.

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
- 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
- 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
- Website
- github.com/lancedb/lancedb
- Category
- AI & Machine Learning › AI SQL & Database Tools
- 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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