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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.

Installation

pip install lancedb

Quickstart

import lancedb

db = lancedb.connect(".")
table = db.create_table("my_table",
                         data=[{"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
                               {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}])
result = table.search([100, 100]).limit(2).to_df()

Documentation Quick Links

  • API Reference - detailed documentation for the LanceDB Python SDK.