{"id":"1a4a59a8-f186-4a52-ad64-5a4e2027c511","kind":"products","code":"UB-D8061","name":"Zvec","nameBasis":"original-brand","summary":"[Product Introduction] Zvec is an open source, lightweight in-process vector database built on Alibaba's proven Proxima engine. Designed for embedded applications, it provides production-grade, low-latency scalable similarity search capabilities in any code execution environment, from servers to edge devices, without the need for separate server configuration. Zvec aims to help developers quickly build high-performance AI applications such as RAG, image search, and code search through a minimalist architecture. [Product Features] Ultimate performance: Supports millisecond-level retrieval of billions of vectors, and has excellent QPS performance on tens of millions of data sets. Lightweight and easy to use: It adopts the in-process (InProcess) operating mode and is ready to use without complex operation, maintenance and configuration. Hybrid search: supports dense vectors and sparse vectors, and provides hybrid search and group search functions combined with structured filters. Multi-terminal support: Compatible with Python and Node.js, supports Linux and macOS (including ARM64) platforms. Project open source address: https://github.com/alibaba/zvec","description":"[Product Introduction] Zvec is an open source, lightweight in-process vector database built on Alibaba's proven Proxima engine. Designed for embedded applications, it provides production-grade, low-latency scalable similarity search capabilities in any code execution environment, from servers to edge devices, without the need for separate server configuration. Zvec aims to help developers quickly build high-performance AI applications such as RAG, image search, and code search through a minimalist architecture. [Product Features] Ultimate performance: Supports millisecond-level retrieval of billions of vectors, and has excellent QPS performance on tens of millions of data sets. Lightweight and easy to use: It adopts the in-process (InProcess) operating mode and is ready to use without complex operation, maintenance and configuration. Hybrid search: supports dense vectors and sparse vectors, and provides hybrid search and group search functions combined with structured filters. Multi-terminal support: Compatible with Python and Node.js, supports Linux and macOS (including ARM64) platforms. Project open source address: https://github.com/alibaba/zvec","country":null,"category":"Coding assistants","originalName":"Zvec","eventDate":null,"website":null,"sourceUpdatedAt":"2026-10-26T21:00:18.869Z","englishUpdatedAt":"2026-10-28T00:56:06.702Z","reviewedAt":"2026-10-28T00:56:06.702Z","snapshotAt":"2026-10-28T00:47:51.550Z","sourceHash":"0033d506169a44c6bb77c6602a0c327a8309db6e964de704e1e5664af8e6382f","companyId":"019a3ae5-37aa-4b9d-bf8d-c7ab38ce21aa","foundedYear":null,"logoUrl":null,"originalText":"【产品介绍】Zvec 是一款基于阿里巴巴实战检验的 Proxima 引擎构建的开源、轻量级进程内向量数据库。它专为嵌入应用程序设计，无需独立的服务器配置，即可在任何代码运行环境（从服务器到边缘设备）中提供生产级、低延迟的可扩展相似性搜索能力。Zvec 旨在通过极简的架构，帮助开发者快速构建 RAG、图像搜索和代码搜索等高性能 AI 应用。【产品功能】极致性能：支持十亿级向量规模的毫秒级检索，在千万级数据集上具备卓越的 QPS 表现。轻量易用：采用进程内（InProcess）运行模式，安装即用，无需复杂的运维与配置。混合检索：支持稠密向量与稀疏向量，并提供结合结构化过滤器的混合搜索及分组搜索功能。多端支持：兼容 Python 和 Node.js，支持 Linux 和 macOS（含 ARM64）平台。项目开源地址：https://github.com/alibaba/zvec","sources":[],"related":[{"id":"019a3ae5-37aa-4b9d-bf8d-c7ab38ce21aa","kind":"companies","code":"UB-C13356","name":"Zvec","nameBasis":"source-english","summary":"An open-source, in-process vector database by Alibaba","description":"An open-source, in-process vector database by Alibaba — lightweight, lightning-fast, and battle-tested.","country":null,"category":null,"originalName":"Zvec","eventDate":null,"website":"https://zvec.org/","sourceUpdatedAt":"2026-10-26T00:00:00.000Z","englishUpdatedAt":"2026-11-01T02:03:52.182Z","reviewedAt":"2026-11-01T02:03:52.182Z","snapshotAt":"2026-11-01T00:40:31.077Z","sourceHash":"7cf32fa7a55b4bc592e3713ce1d5d9672077f76d30dde24f5d0f42261bde9d6a","companyId":null,"foundedYear":null,"logoUrl":null,"path":"/companies/zvec"}],"path":"/products/zvec","structured":{"city":null,"country":null,"location":null,"role":null,"category":"Coding assistants","company":{"name":"Zvec","path":"/companies/zvec"}},"definition":"Zvec is a product in the Coding assistants category from Zvec.","summaryBasis":"translated","thin":false,"canonical":"https://uniquebase.ai/products/zvec"}