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![Milvuslogo](https://github.com/milvus-io/docs/blob/branch-0.5.0/assets/milvus_logo.png)
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![LICENSE](https://img.shields.io/badge/license-Apache--2.0-brightgreen)
![Language](https://img.shields.io/badge/language-C%2B%2B-blue)

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- [Slack Community](https://join.slack.com/t/milvusio/shared_invite/enQtNzY1OTQ0NDI3NjMzLWNmYmM1NmNjOTQ5MGI5NDhhYmRhMGU5M2NhNzhhMDMzY2MzNDdlYjM5ODQ5MmE3ODFlYzU3YjJkNmVlNDQ2ZTk)
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- [Twitter](https://twitter.com/milvusio)
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- [Facebook](https://www.facebook.com/io.milvus.5)
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- [Blog](https://www.milvus.io/blog/)
- [CSDN](https://zilliz.blog.csdn.net/)
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- [中文官网](https://www.milvus.io/zh-CN/)
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# Welcome to Milvus

## What is Milvus

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Milvus is an open source similarity search engine for massive feature vectors. Designed with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
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Milvus provides stable Python, Java and C++ APIs.
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Keep up-to-date with newest releases and latest updates by reading Milvus [release notes](https://milvus.io/docs/en/Releases/v0.4.0/).

- GPU-accelerated search engine

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  Milvus uses CPU/GPU heterogeneous computing architecture to process feature vectors, and are orders of magnitudes faster than traditional databases.
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- Multiple indexes
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  Milvus supports a variety of indexing types that employs quantization, tree-based, and graph indexing techniques. 
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- Intelligent resource management
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  Milvus optimizes the search computation and index building according to your data size and available resources. 

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- Horizontal scalability 
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  Milvus expands computation and storage by adding nodes during runtime, which allows you to scale the data size without redesigning the system.
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## Architecture
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![Milvus_arch](https://github.com/milvus-io/docs/blob/master/assets/milvus_arch.jpg)
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## Get started

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### Hardware Requirements

| Component | Recommended configuration           |
| --------- | ----------------------------------- |
| CPU       | Intel CPU Haswell or higher         |
| GPU       | NVIDIA Pascal series or higher      |
| Memory    | 8 GB or more (depends on data size) |
| Storage   | SATA 3.0 SSD or higher              |

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### Install using docker
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Use Docker to install Milvus is a breeze. See the [Milvus install guide](https://milvus.io/docs/en/userguide/install_milvus/) for details.

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### Build from source
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#### Software requirements
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- Ubuntu 18.04 or higher
- CMake 3.14 or higher
- CUDA 10.0 or higher
- NVIDIA driver 418 or higher
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#### Compilation
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##### Step 1 Install dependencies
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```shell
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$ cd [Milvus sourcecode path]/core
./ubuntu_build_deps.sh
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```

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##### Step 2 Build
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```shell
$ cd [Milvus sourcecode path]/core
$ ./build.sh -t Debug
or 
$ ./build.sh -t Release
```

When the build is completed, all the stuff that you need in order to run Milvus will be installed under `[Milvus root path]/core/milvus`.

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#### Launch Milvus server
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```shell
$ cd [Milvus root path]/core/milvus
```

Add `lib/` directory to `LD_LIBRARY_PATH`

```
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/milvus/lib
```

Then start Milvus server:

```
$ cd scripts
$ ./start_server.sh
```

To stop Milvus server, run:

```shell
$ ./stop_server.sh
```

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To edit Milvus settings in `conf/server_config.yaml` and `conf/log_config.conf`, please read [Milvus Configuration](https://github.com/milvus-io/docs/blob/master/reference/milvus_config.md).
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### Try your first Milvus program

#### Run Python example code

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Make sure [Python 3.5](https://www.python.org/downloads/) or higher is already installed and in use.
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Install Milvus Python SDK.

```shell
# Install Milvus Python SDK
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$ pip install pymilvus==0.2.3
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```

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Create a new file `example.py`, and add [Python example code](https://github.com/milvus-io/pymilvus/blob/master/examples/AdvancedExample.py) to it.
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Run the example code.

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```shell
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# Run Milvus Python example
$ python3 example.py
```

#### Run C++ example code

```shell
 # Run Milvus C++ example
 $ cd [Milvus root path]/core/milvus/bin
 $ ./sdk_simple
```

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#### Run Java example code
Make sure Java 8 or higher is already installed.

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Refer to [this link](https://github.com/milvus-io/milvus-sdk-java/tree/master/examples) for the example code.
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## Contribution guidelines

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Contributions are welcomed and greatly appreciated. If you want to contribute to Milvus, please read our [contribution guidelines](CONTRIBUTING.md). This project adheres to the [code of conduct](CODE_OF_CONDUCT.md) of Milvus. By participating, you are expected to uphold this code.
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We use [GitHub issues](https://github.com/milvus-io/milvus/issues/new/choose) to track issues and bugs. For general questions and public discussions, please join our community.
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## Join the Milvus community

To connect with other users and contributors, welcome to join our [slack channel](https://join.slack.com/t/milvusio/shared_invite/enQtNzY1OTQ0NDI3NjMzLWNmYmM1NmNjOTQ5MGI5NDhhYmRhMGU5M2NhNzhhMDMzY2MzNDdlYjM5ODQ5MmE3ODFlYzU3YjJkNmVlNDQ2ZTk). 

## Milvus Roadmap

Please read our [roadmap](https://milvus.io/docs/en/roadmap/) to learn about upcoming features.

## Resources

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

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[Milvus docs](https://www.milvus.io/docs/en/userguide/install_milvus/)
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[Milvus bootcamp](https://github.com/milvus-io/bootcamp)

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

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[Milvus CSDN](https://zilliz.blog.csdn.net/)
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[Milvus roadmap](https://milvus.io/docs/en/roadmap/)


## License

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[Apache 2.0 license](LICENSE)