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< img src = "https://zilliz-cms.s3.us-west-2.amazonaws.com/readme_ch_69fbf0fc45.png" alt = "Milvus banner" >
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< div class = "column" align = "middle" >
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< a href = "https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ" >
< img src = "https://img.shields.io/badge/Join-Slack-orange" alt = "join-slack" / >
< / a >
< img src = "https://img.shields.io/github/license/milvus-io/milvus" alt = "license" / >
< img src = "https://img.shields.io/docker/pulls/milvusdb/milvus" alt = "docker-pull-count" / >
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< a href = "https://bestpractices.coreinfrastructure.org/projects/3563" >
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< img src = "https://bestpractices.coreinfrastructure.org/projects/3563/badge" / >
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< / a >
< a href = "https://app.codacy.com/gh/milvus-io/milvus?utm_source=github.com&utm_medium=referral&utm_content=milvus-io/milvus&utm_campaign=Badge_Grade_Dashboard" >
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# 欢迎来到 Milvus
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## Milvus 是什么
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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。
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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 ](https://milvus.io/cn/docs/v2.0.0/architecture_overview.md )。
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Milvus 基于 [Apache 2.0 License ](https://github.com/milvus-io/milvus/blob/master/LICENSE ) 协议发布,于 2019 年 10 月正式开源,是 [LF AI & Data 基金会 ](https://lfaidata.foundation/ ) 的毕业项目。
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## 产品亮点
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< details >
< summary > < b > 针对万亿级向量的毫秒级搜索< / b > < / summary >
完成万亿条向量数据搜索的平均延迟以毫秒计。
< / details >
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< details >
< summary > < b > 简化的非结构化数据管理< / b > < / summary >
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< li > 一整套专为数据科学工作流设计的 API。< / li > < li > 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。< / li > < li > 可以在任何场景下实现实时搜索与分析。< / li >
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< / details >
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< details >
< summary > < b > 稳定可靠的用户体验< / b > < / summary >
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。
< / details >
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< details >
< summary > < b > 高度可扩展,弹性伸缩< / b > < / summary >
组件级别的高扩展性,支持精准扩展。
< / details >
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< details >
< summary > < b > 混合查询< / b > < / summary >
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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。
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< / details >
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< details >
< summary > < b > 基于 Lambda 架构的流批一体式数据存储< / b > < / summary >
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。
< / details >
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< details >
< summary > < b > 广受社区支持和业界认可< / b > < / summary >
Milvus 项目在 GitHub 上获星超 6000, 拥有逾 1000 家企业用户, 还有活跃的开源社区。Milvus 由 < a href = "https://lfaidata.foundation/" > LF AI & Data 基金会< / a > 背书,是该基金会的毕业项目。
< / details >
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## 快速开始
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### 开始使用 Milvus
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- [Standalone Quick Start Guide ](https://milvus.io/cn/docs/v2.0.0/install_standalone-docker.md )
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- [Cluster Quick Start Guide ](https://milvus.io/cn/docs/v2.0.0/install_cluster-docker.md )
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### 开发 Milvus
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```bash
# Clone github repository.
$ git clone https://github.com/milvus-io/milvus.git
# Install third-party dependencies.
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$ cd milvus/
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$ ./scripts/install_deps.sh
# Compile Milvus standalone.
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$ make milvus
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```
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获取更多内容,请阅读 [开发者文档 ](https://github.com/milvus-io/milvus/blob/master/DEVELOPMENT.md )
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> **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](https://github.com/milvus-io/milvus/tree/1.0)。
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## Milvus 2.0:功能增加、性能升级
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详见 [Milvus 2.0 vs. 1.x ](https://github.com/milvus-io/milvus/blob/master/milvus20vs1x.md ) 。
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## 入门指南
### 应用场景
< table >
< tr >
< td width = "30%" >
< a href = "https://zilliz.com/milvus-demos" >
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< img src = "https://zilliz-cms.s3.us-west-2.amazonaws.com/image_search_59a64e4f22.gif" / >
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< / a >
< / td >
< td width = "30%" >
< a href = "https://zilliz.com/milvus-demos" >
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< img src = "https://zilliz-cms.s3.us-west-2.amazonaws.com/qa_df5ee7bd83.gif" / >
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< / a >
< / td >
< td width = "30%" >
< a href = "https://zilliz.com/milvus-demos" >
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< img src = "https://zilliz-cms.s3.us-west-2.amazonaws.com/mole_search_76f8340572.gif" / >
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< / a >
< / td >
< / tr >
< tr >
< th >
< a href = "https://zilliz.com/milvus-demos" > 以图搜图系统< / a >
< / th >
< th >
< a href = "https://zilliz.com/milvus-demos" > 智能问答机器人< / a >
< / th >
< th >
< a href = "https://zilliz.com/milvus-demos" > 分子式检索系统< / a >
< / th >
< / tr >
< / table >
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#### 以图搜图系统
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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。
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## 训练营
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Milvus [训练营 ](https://github.com/milvus-io/bootcamp )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。
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## 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 ](https://github.com/milvus-io/milvus/blob/master/CONTRIBUTING.md )。参考 [社区仓库 ](https://github.com/milvus-io/community ) 了解社区管理准则并获取更多社区资源。
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### All contributors
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< br > <!-- Do not remove start of hero - bot -->
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< img src = "https://img.shields.io/badge/all--contributors-167-orange" > < br >
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< a href = "https://github.com/ABNER-1" > < img src = "https://avatars.githubusercontent.com/u/24547351?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Accagain2014" > < img src = "https://avatars.githubusercontent.com/u/9635216?v=4" width = "30px" / > < / a >
< a href = "https://github.com/AllenYu1987" > < img src = "https://avatars.githubusercontent.com/u/12489985?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Aredcap" > < img src = "https://avatars.githubusercontent.com/u/40494761?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Ben-Aaron-Bio-Rad" > < img src = "https://avatars.githubusercontent.com/u/54123439?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Bennu-Li" > < img src = "https://avatars.githubusercontent.com/u/53458891?v=4" width = "30px" / > < / a >
< a href = "https://github.com/BossZou" > < img src = "https://avatars.githubusercontent.com/u/40255591?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Chisdo" > < img src = "https://avatars.githubusercontent.com/u/36720318?v=4" width = "30px" / > < / a >
< a href = "https://github.com/CrossRaynor" > < img src = "https://avatars.githubusercontent.com/u/3909908?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Cupchen" > < img src = "https://avatars.githubusercontent.com/u/34762375?v=4" width = "30px" / > < / a >
< a href = "https://github.com/DanielHuang1983" > < img src = "https://avatars.githubusercontent.com/u/4417873?v=4" width = "30px" / > < / a >
< a href = "https://github.com/DragonDriver" > < img src = "https://avatars.githubusercontent.com/u/31589260?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Emma-Song" > < img src = "https://avatars.githubusercontent.com/u/64460989?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Fierralin" > < img src = "https://avatars.githubusercontent.com/u/8857059?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/HuangHua" > < img src = "https://avatars.githubusercontent.com/u/2274405?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/LocoRichard" > < img src = "https://avatars.githubusercontent.com/u/81553353?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/NotRyan" > < img src = "https://avatars.githubusercontent.com/u/5742796?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/PahudPlus" > < img src = "https://avatars.githubusercontent.com/u/64403786?v=4" width = "30px" / > < / a >
< a href = "https://github.com/QipengZhou" > < img src = "https://avatars.githubusercontent.com/u/5410298?v=4" width = "30px" / > < / a >
< a href = "https://github.com/ReigenAraka" > < img src = "https://avatars.githubusercontent.com/u/57280231?v=4" width = "30px" / > < / a >
< a href = "https://github.com/RyanWei" > < img src = "https://avatars.githubusercontent.com/u/9876551?v=4" width = "30px" / > < / a >
< a href = "https://github.com/SCKCZJ2018" > < img src = "https://avatars.githubusercontent.com/u/29282370?v=4" width = "30px" / > < / a >
< a href = "https://github.com/SkyYang" > < img src = "https://avatars.githubusercontent.com/u/4702509?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/Sunt-ing" > < img src = "https://avatars.githubusercontent.com/u/43040147?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/SwaggySong" > < img src = "https://avatars.githubusercontent.com/u/36157116?v=4" width = "30px" / > < / a >
< a href = "https://github.com/ThreadDao" > < img src = "https://avatars.githubusercontent.com/u/27288593?v=4" width = "30px" / > < / a >
< a href = "https://github.com/ThyeeZz" > < img src = "https://avatars.githubusercontent.com/u/41352919?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Tlincy" > < img src = "https://avatars.githubusercontent.com/u/11934432?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Tumao727" > < img src = "https://avatars.githubusercontent.com/u/20420181?v=4" width = "30px" / > < / a >
< a href = "https://github.com/XuPeng-SH" > < img src = "https://avatars.githubusercontent.com/u/39627130?v=4" width = "30px" / > < / a >
< a href = "https://github.com/XuanYang-cn" > < img src = "https://avatars.githubusercontent.com/u/51370125?v=4" width = "30px" / > < / a >
< a href = "https://github.com/YiyunNi" > < img src = "https://avatars.githubusercontent.com/u/74396087?v=4" width = "30px" / > < / a >
< a href = "https://github.com/Yukikaze-CZR" > < img src = "https://avatars.githubusercontent.com/u/48198922?v=4" width = "30px" / > < / a >
< a href = "https://github.com/aaronjin2010" > < img src = "https://avatars.githubusercontent.com/u/48044391?v=4" width = "30px" / > < / a >
< a href = "https://github.com/akihoni" > < img src = "https://avatars.githubusercontent.com/u/36330442?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/alwayslove2013" > < img src = "https://avatars.githubusercontent.com/u/22510720?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/anchun" > < img src = "https://avatars.githubusercontent.com/u/2356895?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/chenxingqiang" > < img src = "https://avatars.githubusercontent.com/u/12387235?v=4" width = "30px" / > < / a >
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< a href = "https://github.com/claireyuw" > < img src = "https://avatars.githubusercontent.com/u/83751381?v=4" width = "30px" / > < / a >
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<!-- Do not remove end of hero - bot --> < br >
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## Milvus 文档
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获取更多有关安装、开发、部署和管理的指南,请查看 [Milvus 文档 ](https://milvus.io/cn/docs/home ).
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### SDK
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- [PyMilvus ](https://github.com/milvus-io/pymilvus )
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- [Node SDK ](https://github.com/milvus-io/milvus-sdk-node )
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## 社区
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欢迎加入 [Slack ](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ ) 频道分享你的建议与问题。你也可以通过 [FAQ ](https://milvus.io/cn/docs/v1.0.0/performance_faq.md ) 页面,查看常见问题及解答。
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订阅 Milvus 邮件:
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- [Technical Steering Committee ](https://lists.lfai.foundation/g/milvus-tsc )
- [Technical Discussions ](https://lists.lfai.foundation/g/milvus-technical-discuss )
- [Announcement ](https://lists.lfai.foundation/g/milvus-announce )
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关注 Milvus 社交媒体:
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- [知乎 ](https://zilliz.atlassian.net/wiki/spaces/TC/pages/251658753/CN%2BTranslation%2BWhat%2Bis%2BMilvus# )
- [CSDN ](http://zilliz.blog.csdn.net/ )
- [Bilibili ](http://space.bilibili.com/478166626 )
- Zilliz 技术交流微信群
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< img src = "https://zilliz-cms.s3.us-west-2.amazonaws.com/wechat_2abac21f5a.png" alt = "Wechat QR Code" >
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## 加入我们
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Zilliz 是 Milvus 项目的幕后公司。我们正在 [招聘 ](https://app.mokahr.com/apply/zilliz/37974#/ ) 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。
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## 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}
}
```
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## 特别感谢
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Milvus 采用了以下依赖库:
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- 感谢 [FAISS ](https://github.com/facebookresearch/faiss ) 相似性检索库。
- 感谢开源键值存储 [etcd ](https://github.com/coreos/etcd )。
- 感谢分布式信息发布/订阅平台 [Pulsar ](https://github.com/apache/pulsar )。
- 感谢存储引擎 [RocksDB ](https://github.com/facebook/rocksdb )。