alibaba / zvec
A lightweight, lightning-fast, in-process vector database
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Repository Overview (README excerpt)
Crawler viewš Quickstart | š Home | š Docs | š Benchmarks | š DeepWiki | š® Discord **Zvec** is an open-source, in-process vector database ā lightweight, lightning-fast, and designed to embed directly into applications. Built on **Proxima** (Alibaba's battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup. š« Features ā¢ **Blazing Fast**: Searches billions of vectors in milliseconds. ā¢ **Simple, Just Works**: Install and start searching in seconds. No servers, no config, no fuss. ā¢ **Dense + Sparse Vectors**: Work with both dense and sparse embeddings, with native support for multi-vector queries in a single call. ā¢ **Hybrid Search**: Combine semantic similarity with structured filters for precise results. ā¢ **Runs Anywhere**: As an in-process library, Zvec runs wherever your code runs ā notebooks, servers, CLI tools, or even edge devices. š¦ Installation Python **Requirements**: Python 3.10 - 3.12 Node.js ā Supported Platforms ā¢ Linux (x86_64, ARM64) ā¢ macOS (ARM64) š ļø Building from Source If you prefer to build Zvec from source, please check the Building from Source guide. ā” One-Minute Example š Performance at Scale Zvec delivers exceptional speed and efficiency, making it ideal for demanding production workloads. For detailed benchmark methodology, configurations, and complete results, please see our Benchmarks documentation. š¤ Join Our Community Stay updated and get support ā scan or click: | š¬ DingTalk | š± WeChat | š® Discord | |:---:|:---:|:---:| | | | | | Scan to join | Scan to join | Click to join | ā¤ļø Contributing We welcome and appreciate contributions from the community! Whether you're fixing a bug, adding a feature, or improving documentation, your help makes Zvec better for everyone. Check out our Contributing Guide to get started!