alibaba/zvec
A lightweight, lightning-fast, in-process vector database
Built on Alibaba's Proxima vector search engine, Zvec supports both dense and sparse vectors with native multi-vector queries and hybrid search combining semantic similarity with structured filters. The in-process architecture eliminates server overhead while delivering sub-millisecond search latency across billions of vectors, with Python and Node.js SDKs and seamless deployment from notebooks to edge devices.
8,900 stars. Actively maintained with 58 commits in the last 30 days.
Stars
8,900
Forks
501
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
58
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/alibaba/zvec"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
matte1782/edgevec
High-performance vector search for Browser, Node, and Edge
devflowinc/trieve
All-in-one platform for search, recommendations, RAG, and analytics offered via API
upstash/semantic-cache
A fuzzy key value store based on semantic similarity rather lexical equality.
rryam/VecturaKit
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
Build5Nines/SharpVector
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application