alibaba / zvec
A lightweight, lightning-fast, in-process vector database
Why this job: says: vector database; topics: rag, vector-database, semantic-search
What it does
- Blazing Fast. Searches billions of vectors in milliseconds.
- Simple, Just Works. Install and start searching in seconds. Pure local, no servers, no config, no fuss.
- Dense + Sparse Vectors. Support dense and sparse embeddings, multi-vector queries, and a rich selection of vector index types that scale from memory to disk.
- Full-Text Search (FTS). Native keyword-based full-text search — query string fields with natural-language or structured expressions.
- Hybrid Search. Fuse vector similarity, full-text search, and structured filters in a single query for precise results.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 16,215
- +48 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v0.8.1
- Released 3 days ago
- Built with
- C++
- 94% of the code
Is it looked after?
- Contributors
- 18
- Last 90 days
- Issues
- 76% closed
- 48 still open
- Pull requests
- 488 merged
- 47 waiting
- Releases
- 16
- 16 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: download files, languages, topics and project record
Download files, v0.8.1
- Mac2 files, 21 downloads
- Windows2 files, 19 downloads
- Linux4 files, 34 downloads
Languages
- C++ 94%
- Python 4%
- C 2%
- CMake 1%
Topics
- rag
- agent-skills
- embedded
- faiss
- hnsw
- llm-memory
- search-engine
- semantic-search
- similarity-search
- vector-database
- local
- db
Project record
- JobRAG and search
- StatusListed
- Commits489
- Forks1,021
- Watching69
- Stars in 28 days+146
- CreatedDec 5, 2025
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
