nubskr / satoriDB
High performance embedded vector database
Why this job: says: vector database; topics: rag, vector-database, embeddings, vector-search
What it does
- Embedded. runs entirely in-process, no external services
- Two-tier search. HNSW routing + parallel bucket scanning
- Automatic clustering. vectors grouped by similarity, splits when buckets grow
- CPU-pinned workers. Glommio executors with io_uring
- SIMD acceleration. AVX2/AVX-512 for distance computation
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 245
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.2
- Released 10 months ago
- Built with
- Rust
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 1 merged
- 1 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Rust 100%
- Makefile <1%
Topics
- database
- embeddings
- rust
- vector-database
- ai
- document-retrieval
- fuzzy-search
- llm
- nearest-neighbor-search
- rag
- vector-search
- vectors
Project record
- JobRAG and search
- StatusListed
- Commits105
- Forks20
- Watching2
- Stars in 28 days0
- CreatedDec 2, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026