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Welcome to LanceDB's Documentation

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

The key features of LanceDB include:

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

  • Combine attribute-based information with vectors and store them as a single source-of-truth.

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

  • Ecosystem integrations: 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.

Documentation Quick Links

  • Quick start - search and filter a hello world vector dataset with LanceDB using the Python SDK.
  • API Reference - detailed documentation for the LanceDB Python SDK.