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.
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
