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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

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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

All files on GitHub (opens in new tab)

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

Type to search.

Try