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[skip ci]Fix readme link (#4983)
Signed-off-by: yhmo <yihua.mo@zilliz.com>
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README.md
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[](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ)
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@ -16,9 +16,9 @@ As an open source vector similarity search engine, Milvus is easy-to-use, highly
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The following is Milvus architecture:
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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.
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For more detailed introduction of Milvus and its architecture, see [Milvus overview](https://www.milvus.io/docs/v1.0.0/overview.md). See Milvus [release notes](https://www.milvus.io/docs/v1.0.0/release_notes.md) to keep up-to-date with its releases and updates.
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Milvus is an incubation-stage project at [LF AI & Data Foundation](https://lfaidata.foundation/).
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@ -26,28 +26,28 @@ Milvus is an incubation-stage project at [LF AI & Data Foundation](https://lfaid
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### Install Milvus
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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).
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See [Milvus install guide](https://www.milvus.io/docs/v1.0.0/install_milvus.md) to install Milvus using Docker. To install Milvus from source code, see [build from source](INSTALL.md).
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### Try example programs
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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).
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Try an example program with Milvus using [Python](https://github.com/milvus-io/pymilvus/tree/1.0/examples), [Java](https://github.com/milvus-io/milvus-sdk-java/tree/1.0/examples), [Go](https://github.com/milvus-io/milvus-sdk-go/tree/1.0/examples), or [C++ example code](https://github.com/milvus-io/milvus/tree/1.0/sdk/examples).
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## Supported clients
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- [Go](https://github.com/milvus-io/milvus-sdk-go)
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- [Python](https://github.com/milvus-io/pymilvus)
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- [Java](https://github.com/milvus-io/milvus-sdk-java)
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- [C++](https://github.com/milvus-io/milvus/tree/master/sdk)
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- [RESTful API](https://github.com/milvus-io/milvus/tree/master/core/src/server/web_impl)
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- [Go](https://github.com/milvus-io/milvus-sdk-go/tree/1.0)
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- [Python](https://github.com/milvus-io/pymilvus/tree/1.0)
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- [Java](https://github.com/milvus-io/milvus-sdk-java/tree/1.0)
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- [C++](https://github.com/milvus-io/milvus/tree/1.0/sdk)
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- [RESTful API](https://github.com/milvus-io/milvus/tree/1.0/core/src/server/web_impl)
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- [Node.js](https://www.npmjs.com/package/@arkie-ai/milvus-client) (Contributed by [arkie](https://www.arkie.cn/))
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## Application scenarios
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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.
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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/tree/1.0) for detailed solutions and application scenarios.
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## Benchmark
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See our [test reports](https://github.com/milvus-io/milvus/tree/master/docs) for more information about performance benchmarking of different indexes in Milvus.
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See our [test reports](https://github.com/milvus-io/milvus/tree/1.0/docs) for more information about performance benchmarking of different indexes in Milvus.
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## Roadmap
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README_CN.md
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[](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ)
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@ -21,9 +19,9 @@ Milvus 是一款开源的特征向量相似度搜索引擎,具有使用方便
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Milvus 的架构如下:
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若要了解 Milvus 详细介绍和整体架构,请访问 [Milvus 简介](https://www.milvus.io/docs/overview.md)。你可以通过 [版本发布说明](https://www.milvus.io/docs/release_notes.md) 获取最新版本的功能和更新。
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若要了解 Milvus 详细介绍和整体架构,请访问 [Milvus 简介](https://www.milvus.io/docs/v1.0.0/overview.md)。你可以通过 [版本发布说明](https://www.milvus.io/docs/v1.0.0/release_notes.md) 获取最新版本的功能和更新。
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Milvus是一个 [LF AI & Data 基金会](https://lfaidata.foundation/)的孵化项目。获取更多,请访问[lfai.foundation](https://lfaidata.foundation/)。
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@ -31,28 +29,28 @@ Milvus是一个 [LF AI & Data 基金会](https://lfaidata.foundation/)的孵化
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### 安装 Milvus
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请参阅 [Milvus 安装指南](https://www.milvus.io/docs/install_milvus.md) 使用 Docker 容器安装 Milvus。若要基于源码编译,请访问 [源码安装](INSTALL.md)。
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请参阅 [Milvus 安装指南](https://www.milvus.io/docs/v1.0.0/install_milvus.md) 使用 Docker 容器安装 Milvus。若要基于源码编译,请访问 [源码安装](INSTALL.md)。
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### 尝试示例代码
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你可以尝试用 [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),或者 [C++](https://github.com/milvus-io/milvus/tree/master/sdk/examples) 运行 Milvus 示例代码。
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你可以尝试用 [Python](https://github.com/milvus-io/pymilvus/tree/1.0/examples),[Java](https://github.com/milvus-io/milvus-sdk-java/tree/1.0/examples),[Go](https://github.com/milvus-io/milvus-sdk-go/tree/1.0/examples),或者 [C++](https://github.com/milvus-io/milvus/tree/1.0/sdk/examples) 运行 Milvus 示例代码。
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## 支持的客户端
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- [Go](https://github.com/milvus-io/milvus-sdk-go)
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- [Python](https://github.com/milvus-io/pymilvus)
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- [Java](https://github.com/milvus-io/milvus-sdk-java)
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- [C++](https://github.com/milvus-io/milvus/tree/master/sdk)
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- [RESTful API](https://github.com/milvus-io/milvus/tree/master/core/src/server/web_impl)
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- [Go](https://github.com/milvus-io/milvus-sdk-go/tree/1.0)
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- [Python](https://github.com/milvus-io/pymilvus/tree/1.0)
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- [Java](https://github.com/milvus-io/milvus-sdk-java/tree/1.0)
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- [C++](https://github.com/milvus-io/milvus/tree/1.0/sdk)
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- [RESTful API](https://github.com/milvus-io/milvus/tree/1.0/core/src/server/web_impl)
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- [Node.js](https://www.npmjs.com/package/@arkie-ai/milvus-client) (由 [arkie](https://www.arkie.cn/) 提供)
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## 应用场景
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Milvus 可以应用于多种 AI 场景。你可以访问 [Milvus 应用场景](https://milvus.io/scenarios) 体验在线场景展示。你也可以访问 [Milvus 训练营](https://github.com/milvus-io/bootcamp) 了解更详细的应用场景和解决方案。
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Milvus 可以应用于多种 AI 场景。你可以访问 [Milvus 应用场景](https://milvus.io/scenarios) 体验在线场景展示。你也可以访问 [Milvus 训练营](https://github.com/milvus-io/bootcamp/tree/1.0) 了解更详细的应用场景和解决方案。
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## 性能基准测试
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关于 Milvus 性能基准的更多信息,请参考[测试报告](https://github.com/milvus-io/milvus/tree/master/docs)。
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关于 Milvus 性能基准的更多信息,请参考[测试报告](https://github.com/milvus-io/milvus/tree/1.0/docs)。
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## 路线图
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@ -72,7 +70,7 @@ Milvus 可以应用于多种 AI 场景。你可以访问 [Milvus 应用场景](h
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## 加入 Milvus 技术交流微信群
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## 相关链接
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