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Wyatt Alt
90b3715975
Table.create_index, create_scalar_index, create_fts_index, and the materialized-view delegates now return a Job (AsyncJob on AsyncTable). When the server defers the build (pending vector index), the returned job tracks it through the platform jobs API; synchronous builds (scalar, FTS, native tables, GPU-accelerated local paths) return a pre-completed job whose status()/wait() report finished immediately and whose cancel() is a no-op. AsyncTable now carries its owning connection so the async handles can reach the jobs API. wait_timeout keeps working; docs steer new code to job.wait(). Co-Authored-By: Claude Fable 5 <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.