Skip to content

An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy

License

Notifications You must be signed in to change notification settings

zhengshengjun/milvus

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Milvuslogo Slack GitHub Docker pulls

Build Status CII Best Practices codecov codebeat badge CodeFactor Grade Codacy Badge

What is Milvus

As an open source vector similarity search engine, Milvus is easy-to-use, highly reliable, scalable, robust, and blazing fast. Adopted by over 100 organizations and institutions worldwide, Milvus empowers applications in a variety of fields, including image processing, computer vision, natural language processing, voice recognition, recommender systems, drug discovery, and more.

The following is Milvus architecture:

arch For more detailed introduction of Milvus and its architecture, see Milvus overview. See Milvus release notes to keep up-to-date with its releases and updates.

Milvus is an incubation-stage project at LF AI & Data Foundation.

Get started

Install Milvus

See Milvus install guide to install Milvus using Docker. To install Milvus from source code, see build from source.

Try example programs

Try an example program with Milvus using Python, Java, Go, or C++ example code.

Supported clients

Application scenarios

You can use Milvus to build intelligent systems in a variety of AI application scenarios. See Milvus Scenarios for live demos. You can also see Milvus Bootcamp for detailed solutions and application scenarios.

Benchmark

See our test reports for more information about performance benchmarking of different indexes in Milvus.

Roadmap

To learn what's coming up soon in Milvus, read our Roadmap.

It is a Work in Progress, and is subject to reasonable adjustments when necessary. And we greatly appreciate any comments/requirements/suggestions regarding Milvus' roadmap.:clap:

Contribution guidelines

Contributions are welcomed and greatly appreciated. Please read our contribution guidelines for detailed contribution workflow. This project adheres to the code of conduct of Milvus. You must abide by this code in order to participate.

We use GitHub issues to track issues and bugs. For general questions and public discussions, please join our community.

Join our community

❤️ To connect with other users and contributors, welcome to join our Slack channel.

See our community repository to learn more about our governance and access more community resources.

Resources

License

Apache License 2.0

About

An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 69.4%
  • Python 20.2%
  • CMake 4.4%
  • Java 3.4%
  • Shell 1.0%
  • Dockerfile 0.6%
  • Other 1.0%