Update README.md (#5104)

**What type of PR is this?**

- [ ] API-change
- [ ] BUG
- [ ] Improvement
- [x] Documentation
- [ ] Feature
- [ ] Test and CI
- [ ] Code Refactoring

**Which issue(s) this PR fixes:**

Fixes #

**What this PR does / why we need it:**

New readme doc
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LocoRichard 2021-05-06 10:41:24 +08:00 committed by GitHub
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![Milvuslogo](https://github.com/milvus-io/docs/blob/master/v0.9.1/assets/milvus_logo.png) <center>
[![Slack](https://img.shields.io/badge/Join-Slack-orange)](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ) <img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/small_v2_0_readme_33ea8d0e66.jpg" alt="milvus banner"width="960" height="540">
![GitHub](https://img.shields.io/github/license/milvus-io/milvus) </center>
![Docker pulls](https://img.shields.io/docker/pulls/milvusdb/milvus)
[![Build Status](http://internal.zilliz.com:18080/jenkins/job/milvus-ci/job/master/badge/icon)](http://internal.zilliz.com:18080/jenkins/job/milvus-ci/job/master/)
[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3563/badge)](https://bestpractices.coreinfrastructure.org/projects/3563)
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## What is Milvus
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.
The following is Milvus architecture:
![arch](https://github.com/milvus-io/docs/blob/master/v0.10.5/assets/milvus_arch.png)
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).
## 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/1.x/sdk)
- [RESTful API](https://github.com/milvus-io/milvus/tree/1.x/core/src/server/web_impl)
- [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.
## Resources
- [Milvus.io](https://www.milvus.io)
- [Milvus FAQ](https://www.milvus.io/docs/faq/operational_faq.md)
- [Milvus Medium](https://medium.com/@milvusio) <center>
<a href="https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ">
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</a>
<img src="https://img.shields.io/github/license/milvus-io/milvus" />
<img src="https://img.shields.io/docker/pulls/milvusdb/milvus" />
</center>
- [Milvus CSDN](https://zilliz.blog.csdn.net/)
- [Milvus Twitter](https://twitter.com/milvusio) <center>
<a href="http://internal.zilliz.com:18080/jenkins/job/milvus-ci/job/master/">
<img src="http://internal.zilliz.com:18080/jenkins/job/milvus-ci/job/master/badge/icon" />
</a>
<a href="https://bestpractices.coreinfrastructure.org/projects/3563">
<img src="https://bestpractices.coreinfrastructure.org/projects/3563/badge" />
</a>
<a href="https://codecov.io/gh/milvus-io/milvus">
<img src="https://codecov.io/gh/milvus-io/milvus/branch/master/graph/badge.svg" />
</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">
<img src="https://api.codacy.com/project/badge/Grade/c4bb2ccfb51b47f99e43bfd1705edd95" />
</a>
</center>
- [Milvus Facebook](https://www.facebook.com/io.milvus.5)
- [Milvus design docs](DESIGN.md)
<details>
<summary>Take a quick look at our demos!</summary>
<table>
<tr>
<td width="30%">
<a href="https://zilliz.com/solutions">
<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/image_search_59a64e4f22.gif" />
</a>
</td>
<td width="30%">
<a href="https://zilliz.com/solutions">
<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/qa_df5ee7bd83.gif" />
</a>
</td>
<td width="30%">
<a href="https://zilliz.com/solutions">
<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/mole_search_76f8340572.gif" />
</a>
</td>
</tr>
<tr>
<th>
<a href="https://zilliz.com/solutions">Image search</a>
</th>
<th>
<a href="https://zilliz.com/solutions">Chatbots</a>
</th>
<th>
<a href="https://zilliz.com/solutions">Chemical structure search</a>
</th>
</tr>
</table>
</details>
Milvus is an AI-infused database geared towards (embedding) vector similarity search. Milvus is dedicated to lowering the bar for unstructured data search and providing a consistent user experience regardless of users' deployment environment.
Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently an incubation-stage project under [LF AI & Data Foundation](https://lfaidata.foundation/).
- **Functionality-level Autoscaling**
With the main functionalities implemented equivalent among nodes, Milvus is able to autoscale at the functionality level, providing the foundation for a more efficient resource scheduling.
- **Hybrid Search**
In addition to vectors, basic numeric types, such as boolean, integer, floating-point number, etc, are introduced in Milvus. Search for data from hybrid fields are now supported in the Milvus collection.
- **Combined Data Storage**
Milvus has reinforced its support for both streaming and batch data persistence and for the adaptation of alternative message/storage engines, in response to users' increasing demand for high database throughput.
- **Multiple Indexes in a Single Field**
Milvus now supports multiple indexes in a single vector filed, and it decouples indexing from querying. Users are allowed to maintain multiple indexes simultaneously and switch flexibly among them according to their needs.
> **IMPORTANT** The master branch is for the development of Milvus v2.0. On March 9th, 2021, we released Milvus v1.0 which is our first stable version of Milvus with long-term support. To try out Milvus v1.0, switch to [branch 1.0](https://github.com/milvus-io/milvus/tree/1.0).
## Getting Started
### To install a Milvus stand-alone
See [Install Milvus Standalone]().
### To install a Milvus cluster
See [Install Milvus Cluster]().
### Demos
- [Image Search](https://zilliz.com/milvus-demos): Images made searchable. Instantaneously return the most similar images from a massive database.
- [Chatbots](https://zilliz.com/milvus-demos): Interactive digital customer service that saves users time and businesses money.
- [Chemical Structure Search](https://zilliz.com/milvus-demos): Blazing fast similarity search, substructure search, or superstructure search for a specified molecule.
## Contributing
Contributions to Milvus are welcome from everyone. See [Guidelines for Contributing](https://github.com/milvus-io/milvus/blob/master/CONTRIBUTING.md) for details on submitting patches and the contribution workflow. See our [community repository](https://github.com/milvus-io/community) to learn about our governance and access more community resources.
## Documentation
### Milvus Docs
For documentation about Milvus, see [Milvus Docs](https://milvus.io/docs/overview.md).
### SDK
The implemented SDK and its API document are listed below:
- [Python](https://github.com/milvus-io/pymilvus/tree/1.x)
### Recommended Articles
- [What is an embedding vector? Why and how does it contribute to the development of Machine Learning?](https://milvus.io/docs/v1.0.0/vector.md)
- [What types of vector index does Milvus support? Which should I choose?](https://milvus.io/docs/v1.0.0/index.md)
- [How does Milvus compare the distance between vectors?](https://milvus.io/docs/v1.0.0/metric.md)
- You can learn more in [Milvus Server Configurations](https://milvus.io/docs/v1.0.0/milvus_config.md).
## Contact
Join the Milvus community on [Slack Channel](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ) to share your suggestions, advice, and questions with our engineer team. You can also ask for help at our [FAQ page](https://milvus.io/docs/v1.0.0/performance_faq.md).
You can subscribe to our mailing lists at:
- [Milvus Technical Steering Committee](https://lists.lfai.foundation/g/milvus-tsc)
- [Milvus Technical Discussions](https://lists.lfai.foundation/g/milvus-technical-discuss)
- [Milvus Announcement](https://lists.lfai.foundation/g/milvus-announce)
and follow us on social media:
- [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)
## License ## License
[Apache License 2.0](LICENSE) Milvus is licensed under the Apache License, Version 2.0. View a copy of the [License file](https://github.com/milvus-io/milvus/blob/master/LICENSE).
## Acknowledgments
Milvus adopts dependencies from the following:
- Thank [FAISS](https://github.com/facebookresearch/faiss) for the excellent search library.
- Thank [etcd](https://github.com/coreos/etcd) for providing some great open-source tools.
- Thank [Pulsar](https://github.com/apache/pulsar) for its great distributed information pub/sub platform.
- Thank [RocksDB](https://github.com/facebook/rocksdb) for the powerful storage engines.