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127054069a
Thread an optional partition_by through the client: CreateMaterializedViewRequest -> REST body -> pyo3 binding -> Python create_materialized_view/create_view kwarg (sync + async). The server partitions the view's table function by the named source column -- by IVF index clusters if the column is indexed (image-dedup), else by distinct value. Unifies Geneva's partition_by + partition_by_indexed_column into one knob. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.