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eb9784d7f2
Other embedding integrations such as Cohere and OpenAI already send
requests in batches. We should do that for Ollama too to improve
throughput.
The Ollama [`.embed`
API](63ca747622/ollama/_client.py (L359-L378))
was added in version 0.3.0 (almost a year ago) so I updated the version
requirement in pyproject.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Bug Fixes**
- Improved compatibility with newer versions of the "ollama" package by
requiring version 0.3.0 or higher.
- Enhanced embedding generation to process batches of texts more
efficiently and reliably.
- **Refactor**
- Improved type consistency and clarity for embedding-related methods.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
LanceDB
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.