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This PR adds ColPali support with ColPaliEmbeddings class (tagged "colpali") using ColQwen2.5 for multi-vector text/image embeddings. Also added MultiVector Pydantic type to handle the vector lists. I've added some integration test for the embedding model and some unit test for the new Pydantic type. Could be a template for other ColPali variants as well. or until transformers🤗 starts supporting it. Still `TODO`: - [ ] Documentation - [ ] Add an example _Could also allow Image as query, but didn't work well when testing it._ [ColPali-Engine](https://github.com/illuin-tech/colpali) version: 0.3.9.dev17+g3faee24 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Introduced support for ColPali-based multimodal multi-vector embeddings for both text and images. - Added a new embedding class for generating multi-vector embeddings, configurable for various model and processing options. - Added a new Pydantic type for multi-vector embeddings, supporting validation and schema generation for lists of fixed-dimension vectors. - **Bug Fixes** - Ensured proper asynchronous index creation in query tests for improved reliability. - **Tests** - Added integration tests for ColPali embeddings, including text-to-image search and validation of multi-vector fields. - Added comprehensive tests for the new multi-vector Pydantic type, covering schema, validation, and default value behavior. - **Chores** - Updated optional dependencies to include the ColPali engine. - Added utility to check for availability of flash attention support. <!-- 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.