As an open source vector database, Milvus is easy-to-use, highly reliable, robust, and blazing fast. Adopted by over 600 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.
For more detailed introduction of Milvus and its architecture, see [Milvus overview](https://www.milvus.io/docs/overview.md). See Milvus [release notes](https://www.milvus.io/docs/release_notes.md) to keep up-to-date with its releases and updates.
Milvus is an incubation-stage project at [LF AI & Data Foundation](https://lfaidata.foundation/).
## Get started
### Install Milvus
See [Milvus install guide](https://www.milvus.io/docs/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/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).
- [Node.js](https://www.npmjs.com/package/@arkie-ai/milvus-client) (Contributed by [arkie](https://www.arkie.cn/))
## Application scenarios
You can use Milvus to build intelligent systems in a variety of AI application scenarios. See [Milvus Scenarios](https://milvus.io/scenarios) for live demos. You can also see [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/milestones).
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](CONTRIBUTING.md) for detailed contribution workflow. This project adheres to the [code of conduct](CODE_OF_CONDUCT.md) of Milvus. You must abide by this code to participate.
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, you can 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 more about our governance and access more community resources.
