LanceDB

Developer-friendly, database for multimodal AI

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.

The key features of LanceDB include:

• Production-scale vector search with no servers to manage.

• Store, query and filter vectors, metadata and multi-modal data (text, images, videos, point clouds, and more).

• Support for vector similarity search, full-text search and SQL.

• Native Python and Javascript/Typescript support.

• Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure.

• GPU support in building vector index(*).

• Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.

LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.

Quick Start

Javascript

Python

Blogs, Tutorials & Videos

• 📈 2000x better performance with Lance over Parquet
• 🤖 Build a question and answer bot with LanceDB