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English | [中文版](README_CN.md) 

## 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, etc. 

Milvus has the following architecture:

![arch](https://github.com/milvus-io/docs/blob/v0.7.1/assets/milvus_arch.png)

For more detailed introduction of Milvus and its architecture, see [Milvus overview](https://www.milvus.io/docs/about_milvus/overview.md). Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://www.milvus.io/docs/releases/release_notes.md).

Milvus is an [LF AI Foundation](https://lfai.foundation/) incubation project. Learn more at [lfai.foundation](https://lfai.foundation/).

## Get started

### Install Milvus

See the [Milvus install guide](https://www.milvus.io/docs/guides/get_started/install_milvus/install_milvus.md) to install Milvus using Docker. To install Milvus from source code, see [build from source](INSTALL.md).

### Try example programs

Try an example program with Milvus using [Python](https://www.milvus.io/docs/guides/get_started/example_code.md), [Java](https://github.com/milvus-io/milvus-sdk-java/tree/master/examples), [Go](https://github.com/milvus-io/milvus-sdk-go/tree/master/examples), or [C++ example code](https://github.com/milvus-io/milvus/tree/master/sdk/examples).

## Supported clients

-   [Go](https://github.com/milvus-io/milvus-sdk-go)
-   [Python](https://github.com/milvus-io/pymilvus)
-   [Java](https://github.com/milvus-io/milvus-sdk-java)
-   [C++](https://github.com/milvus-io/milvus/tree/master/sdk)
-   [RESTful API](https://github.com/milvus-io/milvus/tree/master/core/src/server/web_impl)
-   [Node.js](https://www.npmjs.com/package/@arkie-ai/milvus-client) (Provided by [arkie](https://www.arkie.cn/))

## Application scenarios

You can use Milvus to build intelligent systems in a variety of AI application scenarios. Refer to [Milvus Scenarios](https://milvus.io/scenarios) for live demos. You can also refer to [Milvus Bootcamp](https://github.com/milvus-io/bootcamp) for detailed solutions and application scenarios.

## Benchmark

See our [test reports](https://github.com/milvus-io/milvus/tree/master/docs) for more information about performance benchmarking of different indexes in Milvus.

## Roadmap

To learn what's coming up soon in Milvus, read our [Roadmap](https://github.com/milvus-io/milvus/projects).

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

## Contribution guidelines

Contributions are welcomed and greatly appreciated. Please read our [contribution guidelines](CONTRIBUTING.md) for detailed contribution workflow. This project adheres to the [code of conduct](CODE_OF_CONDUCT.md) of Milvus. By participating, you are expected to uphold this code.

We use [GitHub issues](https://github.com/milvus-io/milvus/issues) to track issues and bugs. For general questions and public discussions, please join our community.

## Join our community

:heart:To connect with other users and contributors, welcome to join our [Slack channel](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ).

See our [community](https://github.com/milvus-io/community) repository to learn about our governance and access more community resources.


## Resources

-   [Milvus.io](https://www.milvus.io)

-   [Milvus FAQ](https://www.milvus.io/docs/faq/operational_faq.md)

-   [Milvus Medium](https://medium.com/@milvusio)

-   [Milvus CSDN](https://zilliz.blog.csdn.net/)

-   [Milvus Twitter](https://twitter.com/milvusio)

-   [Milvus Facebook](https://www.facebook.com/io.milvus.5)

-   [Milvus design docs](DESIGN.md)

## License

[Apache License 2.0](LICENSE)
