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ad37f87387
Brings the @udf/@table_udf decorator + type inference into lancedb as lancedb.udf (Apache-2.0), and adds the ergonomic glue to the existing connection/table so there's no separate object model: - create_function() accepts a Udf (and a replace= flag) - Table.add_computed_column(column, udf) - create_view(name, source, select, ...) -> View (assembles the SELECT) - Connection.job(job_id) -> JobHandle - View / JobHandle are thin references over a connection Exports udf/table_udf/Udf/JobHandle/View from the package root. The operations stay the existing remote-only methods (enterprise/cloud); the decorator works locally. 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.