Metadata-Version: 2.4
Name: vector-fusion
Version: 0.0.1
Summary: Hybrid vector search microservice with RRF fusion and temporal filtering
Project-URL: Homepage, https://github.com/LifeAiTools/vector-fusion
Project-URL: Documentation, https://github.com/LifeAiTools/vector-fusion#readme
Project-URL: Repository, https://github.com/LifeAiTools/vector-fusion
Project-URL: Issues, https://github.com/LifeAiTools/vector-fusion/issues
Author-email: LifeAiTools <dev@lifeaitools.com>
License: Apache-2.0
License-File: LICENSE
Keywords: embeddings,hybrid-search,microservice,qdrant,rag,rrf,search,semantic-search,vector-search
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing :: Indexing
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# vector-fusion

> Hybrid vector search microservice with RRF fusion and temporal filtering

## 🚧 Coming Soon

This package is under active development. Stay tuned!

## Planned Features

- **Multi-collection hybrid search** - Vector + sparse retrieval
- **RRF merge strategies** - Reciprocal Rank Fusion for result combination
- **Temporal filtering** - Hard/soft modes for time-based queries
- **Gemini embeddings** - Native support for Google's embedding models
- **FastAPI REST API** - Production-ready microservice

## Installation (future)

```bash
pip install vector-fusion
```

## Links

- GitHub: https://github.com/LifeAiTools/vector-fusion
- PyPI: https://pypi.org/project/vector-fusion/

## License

Apache-2.0
