Files
lancedb/python
Wyatt Alt fd0a3b97d0 feat(view): materialized views are first-class indexable + searchable
Add View.create_index / create_scalar_index / create_fts_index / search
as pass-throughs to open_table(name). A materialized view is a real Lance
dataset; these let it be indexed and searched like any other table,
closing the parity gap with Geneva (whose create_materialized_view returns
a first-class Table).

The server-side create_index handler records indexes declared on a view so
they survive a full refresh (which overwrites the dataset, dropping its
indices); that re-apply is wired in the sophon engine.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-29 22:35:34 -07:00
..
2025-01-29 08:27:07 -08:00
2024-04-05 16:22:59 -07:00

LanceDB Python SDK

A Python library for LanceDB.

Installation

pip install lancedb

Preview Releases

Stable releases are created about every 2 weeks. For the latest features and bug fixes, you can install the preview release. These releases receive the same level of testing as stable releases, but are not guaranteed to be available for more than 6 months after they are released. Once your application is stable, we recommend switching to stable releases.

pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb

Usage

Basic Example

import lancedb
db = lancedb.connect('<PATH_TO_LANCEDB_DATASET>')
table = db.open_table('my_table')
results = table.search([0.1, 0.3]).limit(20).to_list()
print(results)

Development

See CONTRIBUTING.md for information on how to contribute to LanceDB.