muxi-ai/faissx

High-performance remote FAISS server for vector similarity search, with full API compatibility.

49
/ 100
Emerging

Extends FAISS with a client-server architecture using ZeroMQ and msgpack for efficient binary communication, enabling distributed vector search across multiple services and languages while maintaining drop-in API compatibility. Built for enterprise multi-tenancy with authentication, persistent index storage, and support for various FAISS index types (FlatL2, IVFPQ, HNSW). Integrates seamlessly into microservices and Kubernetes deployments where centralized vector search reduces memory overhead and enables shared ML infrastructure across teams.

Available on PyPI.

Maintenance 10 / 25
Adoption 3 / 25
Maturity 24 / 25
Community 12 / 25

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Stars

4

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Jan 28, 2026

Commits (30d)

0

Dependencies

4

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