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    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:


    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.


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


    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.👏

    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.



    Apache License 2.0


    An open-source vector database for embedding similarity search and AI applications.

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    发行版本 150



    贡献者 157



    • C++ 69.7 %
    • Python 20.4 %
    • CMake 4.7 %
    • Java 2.7 %
    • Shell 1.0 %