muxi-ai/faissx
High-performance remote FAISS server for vector similarity search, with full API compatibility.
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.
4 stars and 1,072 monthly downloads. Available on PyPI.
Stars
4
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 28, 2026
Monthly downloads
1,072
Commits (30d)
0
Dependencies
4
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