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1. Support persistent embedding function so users can just search using query string 2. Add fixed size list conversion for multiple vector columns 3. Add support for empty query (just apply select/where/limit). 4. Refactor and simplify some of the data prep code --------- Co-authored-by: Chang She <chang@lancedb.com> Co-authored-by: Weston Pace <weston.pace@gmail.com>
LanceDB
A Python library for LanceDB.
Installation
pip install 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_df()
print(results)
Development
Create a virtual environment and activate it:
python -m venv venv
. ./venv/bin/activate
Install the necessary packages:
python -m pip install .
To run the unit tests:
pytest
To run linter and automatically fix all errors:
black .
isort .
If any packages are missing, install them with:
pip install <PACKAGE_NAME>
For Windows users, there may be errors when installing packages, so these commands may be helpful:
Activate the virtual environment:
. .\venv\Scripts\activate
You may need to run the installs separately:
pip install -e .[tests]
pip install -e .[dev]
tantivy requires rust to be installed, so install it with conda, as it doesn't support windows installation:
pip install wheel
pip install cargo
conda install rust
pip install tantivy
To run the unit tests:
pytest