lancedb
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
LanceDB is an open-source, embedded vector database built on the Lance columnar format, offering fast vector search with zero servers to manage.
From the README
- 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.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDeveloper-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
lancedb has 10.9k stars on GitHub. It has been forked 956 times. lancedb is written mainly in HTML. It has been in active development since 2023. lancedb is available under the Apache-2.0 license. Its main topics are approximate-nearest-neighbor-search, image-search, nearest-neighbor-search, recommender-system.
Read the full guideWhat is lancedb?
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Is lancedb open source?
lancedb is an open-source project. It is released under the Apache-2.0 license.
Is lancedb free?
Yes. lancedb is free and open source — you can use, modify and self-host it.
What license does lancedb use?
lancedb is available under the Apache-2.0 license.
What language is lancedb written in?
lancedb is written mainly in HTML.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lancedb-lancedb.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.