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README
Apache-2.0
Milvus banner

欢迎来到 Milvus

Milvus 是什么

Milvus 是一款全球领先的开源向量数据库,赋能 AI 应用和向量相似度搜索,加速非结构化数据检索。用户在任何部署环境中均可获得始终如一的用户体验。

Milvus 2.0 是一款云原生向量数据库,采用存储与计算分离的架构设计。该重构版本的所有组件均为无状态组件,极大地增强了系统弹性和灵活性。更多系统架构细节,参考 Milvus 系统架构

Milvus 基于 Apache 2.0 License 协议发布,于 2019 年 10 月正式开源,是 LF AI & Data 基金会 的毕业项目。

产品亮点

针对万亿级向量的毫秒级搜索 完成万亿条向量数据搜索的平均延迟以毫秒计。
简化的非结构化数据管理 一整套专为数据科学工作流设计的 API。无论是笔记本、本地集群还是云服务器,始终如一的跨平台用户体验。可以在任何场景下实现实时搜索与分析。
稳定可靠的用户体验 Milvus 具有故障转移和故障恢复的机制,即使服务中断,也能确保数据和应用的业务连续性。
高度可扩展,弹性伸缩 组件级别的高扩展性,支持精准扩展。
混合查询 除了向量以外,Milvus还支持布尔值、整型、浮点等数据类型。在 Milvus 中,一个 collection 可以包含多个字段来代表数据特征或属性。Milvus 还支持在向量相似度检索过程中进行标量字段过滤。
基于 Lambda 架构的流批一体式数据存储 Milvus 在存储数据时支持流处理和批处理两种方式,兼顾了流处理的时效性和批处理的效率。统一的对外接口使得向量相似度查询更为便捷。
广受社区支持和业界认可 Milvus 项目在 GitHub 上获星超 8000,拥有逾 1000 家企业用户,还有活跃的开源社区。Milvus 由 LF AI & Data 基金会 背书,是该基金会的毕业项目。

快速开始

启动 Milvus

源码编译 Milvus

请先安装相关依赖。

go: 1.20
cmake: >=3.18
gcc: 7.5
protobuf: >=3.7

克隆 Milvus 项目并编译。

# 克隆项目
$ git clone https://github.com/milvus-io/milvus.git

# 安装第三方依赖
$ cd milvus/
$ ./scripts/install_deps.sh

# 编译 Milvus 单机版
$ make milvus

获取更多内容,请阅读 开发者文档

注意 主分支用于 Milvus v2.0 代码开发。Milvus v1.0 于 2021 年 3 月 9 日发布,是 Milvus 的首个长期支持(LTS)版本。如需使用 Milvus 1.0,请切换至 1.0 分支

Milvus 2.0:功能增加、性能升级

详见 Milvus 2.0 vs. 1.x

入门指南

应用场景

以图搜图系统 智能问答机器人 分子式检索系统

以图搜图系统

从海量图片中快速检索最相似图片。

智能问答机器人

交互式智能问答机器人帮助用户节省时间和用人成本。

分子式检索系统

迅速检索相似化学分子式。

训练营

Milvus 训练营能够帮助你了解向量数据库的操作及各种应用场景。通过 Milvus 训练营探索如何进行 Milvus 性能测评,搭建智能问答机器人、推荐系统、以图搜图系统、分子式检索系统等。

贡献代码

欢迎向 Milvus 社区贡献你的代码。代码贡献流程或提交补丁等相关信息详见 代码贡献准则。参考 社区仓库 了解社区管理准则并获取更多社区资源。

All contributors




Milvus 文档

获取更多有关安装、开发、部署和管理的指南,请查看 Milvus 文档.

SDK

Attu

Attu 提供了好用的图形化界面,帮助您更好的管理数据和Milvus.

社区

欢迎加入 Slack 频道分享你的建议与问题。你也可以通过 FAQ 页面,查看常见问题及解答。

订阅 Milvus 邮件:

关注 Milvus 社交媒体:

Wechat QR Code

加入我们

Zilliz 是 Milvus 项目的幕后公司。我们正在 招聘 算法、开发和全栈工程师。欢迎加入我们,让我们携手构建下一代的开源数据基础软件。

引用

如需在研究论文中使用 Milvus,欢迎添加以下引用:

@inproceedings{2021milvus,
  title={Milvus: A Purpose-Built Vector Data Management System},
  author={Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and others},
  booktitle={Proceedings of the 2021 International Conference on Management of Data},
  pages={2614--2627},
  year={2021}
}

特别感谢

Milvus 采用了以下依赖库:

  • 感谢 FAISS 相似性检索库。
  • 感谢开源键值存储 etcd
  • 感谢分布式信息发布/订阅平台 Pulsar
  • 感谢存储引擎 RocksDB
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简介

Milvus 是一款全球领先的开源向量数据库,赋能 AI 应用和向量相似度搜索,加速非结构化数据检索。 展开 收起
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