GH Repository · RyanCodrai
turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
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Rustturboquantquantannavx512ragembeddingsembeddingfaissnearest-neighborneonquantizationpythonrustsimdvector-search
turbovec is a vector index built on TurboQuant, implemented in Rust with Python bindings. The repository is MIT licensed and its topics indicate SIMD acceleration (AVX512, NEON), approximate nearest-neighbor search, and quantization for embedding-based vector search.
You want a Rust-based, quantized vector index usable from Python for RAG-style nearest-neighbor search.
Use it to
- Run approximate nearest-neighbor search over embeddings
- Use quantized vector indexing in a RAG pipeline
- Call a Rust vector index from Python
- Leverage SIMD (AVX512/NEON) for vector search performance
For Developers building RAG or vector search in Python
- Role
- rag
- Language
- Rust
- Licence
- MIT
- Forks
- 1,471
- Open issues
- 17
- Last push
- 2026-09-13
- Skills shipped
- 1
topicsvector-searchquantizationrustannragpython