RyanCodrai/turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
About the project
A Rust vector index with Python bindings built on the TurboQuant algorithm for compressed embeddings and fast nearest-neighbor search without training.
Useful for
- Build a local RAG stack with private vector search and no managed services
- Speed up search over 10M documents by fitting the index in 4 GB RAM instead of 31 GB
- Filter search results by an allowlist from SQL or BM25 inside the SIMD kernel
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 63 stars today.
- Over the last two days the pace is 2.4× that of the previous week and a half.
- GitHub Trending Rust today: #4, +81 stars.
- About 6 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 17,082
- Stars in a day
- 64
- Forks
- 1,465
- Issues and pull requests
- 536
- Watchers
- 76
- Language
- Rust
- License
- MIT
- Created
- March 26, 2026
- Last push
- September 13, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026GitHub Trending Rust today: #4, +81 stars
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