[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"product:zvec":3},{"id":4,"name":5,"slug":6,"slogan":7,"description":8,"organization":9,"images":10,"avatar_url":11,"image_url":12,"website_url":13,"access_links":14,"status":19,"build_by":20,"categories":21,"stats":25,"upload_relationship":29,"create_at":30,"update_at":31,"owner_id":26,"upload_user_id":27,"reviewer_id":27,"video_info":32,"prerelease_cover_url":33,"scheduled_publish_at":32,"user_scheduled":34,"emoji_reacts":35,"tag":32,"pass_review":32,"user_star":34},1485,"Zvec","zvec","开源、轻量级进程内向量数据库。","{\"type\": \"doc\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"【产品介绍】\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"【产品功能】\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"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。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"多端支持：兼容 Python 和 Node.js，支持 Linux 和 macOS（含 ARM64）平台。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\"}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"项目开源地址：\", \"type\": \"text\"}, {\"text\": \"https:\u002F\u002Fgithub.com\u002Falibaba\u002Fzvec\", \"type\": \"text\", \"marks\": [{\"type\": \"link\", \"attrs\": {\"rel\": \"noopener noreferrer nofollow\", \"href\": \"https:\u002F\u002Fgithub.com\u002Falibaba\u002Fzvec\", \"class\": null, \"target\": \"_blank\"}}]}]}]}","阿里巴巴","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F2_1771834663_245d3674-24af-446c-b464-3b05a58a0197.png;https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F2_1771834663_5a8d490a-df45-45cc-91e9-a1ed3fb923c3.png","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F2_1771834648_a0172189-2355-4d07-8cef-2b3969931ce1.png","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F2_1771834659_f262e6e1-280b-428c-9377-297cfd896d9d.png","https:\u002F\u002Fzvec.org\u002F",{"items":15},[16],{"platform":17,"url":13,"is_primary":18},"WEB",true,"PUBLISHED",[],[22],{"id":23,"name":24},6,"编程开发",{"upvotes":26,"stars":27,"review_count":26,"reply_count":26,"update_at":28},0,2,"2026-09-08T23:57:01.991Z","THIRD_PARTY","2026-02-23T08:17:49.521Z","2026-02-23T08:18:46.635Z",null,"",false,{"reacts":36},[]]