RyanCodrai / turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
Why this job: topics: rag, embeddings, vector-search
What it does
Inputs are 2-D float32 arrays of shape (n, dim); other dtypes raise rather than silently convert. Scores are inner products, so normalise your vectors if you want cosine similarity.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 34 days ago
- Stars
- 17,481
- +30 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Rust
- 58% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 92% closed
- 23 still open
- Pull requests
- 240 merged
- 1 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Rust 58%
- Python 39%
- C 2%
- Shell 1%
Topics
- ann
- avx512
- embedding
- embeddings
- faiss
- nearest-neighbor
- neon
- python
- quant
- quantization
- rag
- rust
Project record
- JobRAG and search
- StatusListed
- Commits376
- Forks1,482
- Watching71
- Stars in 28 days+146
- CreatedMar 26, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026