Hybrid vector search microservice with RRF fusion and temporal filtering
Project description
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)
pip install vector-fusion
Links
License
Apache-2.0
Project details
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