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d5dc4c0f06
LanceDB default vector column discovery only considered top-level fields, so tables with a single nested vector leaf still required users to pass an explicit field path. This updates Rust and Python discovery to recurse into struct fields, return canonical field paths, and preserve actionable errors when no default or multiple defaults exist. The explicit nested path flow for index creation and search remains supported across Rust, Python, and Node, with regression coverage for single nested vector leaves, multiple candidate leaves, and schemas without vector leaves. Closes #3405.
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.