Change file path to relative path

Not absolute path

Author: Harry-Yu-Shuhang

docs/quick-start.md

@@ -69,7 +69,7 @@ Groq Whisper API、OpenAI API 等国外大模型/推理平台 API 一般无法
 Docker是**最适合小白**的部署方式，它可以一键部署所有组件，无需手动配置。
 :::
 
-如果你对 Docker 感兴趣，请移步[Docker 部署指南](/docs/user-guide/backend/docker.md)。
+如果你对 Docker 感兴趣，请移步[Docker 部署指南](./user-guide/backend/docker.md)。
 
 如果不感兴趣，您也可以跳转到常规配置方法，从下一步，也就是[环境准备](#环境准备)步骤开始。
 

docs/user-guide/backend/docker.md

@@ -10,7 +10,7 @@ import TabItem from '@theme/TabItem';
 ## 下载配置文件
 
 ### git下载（适合有git基础的用户）
-先[按照Quick Start安装 git](/docs/quick-start.md#安装-git)
+先[按照Quick Start安装 git](../../quick-start.md#安装-git)
 , 然后下载docker用户配置文件:
 
 ```bash
@@ -47,7 +47,7 @@ git clone https://github.com/Open-LLM-VTuber/OLV-Docker-Config
 :::
 
 :::caution 关于GPU支持
-目前**仅支持CPU和Nvidia GPU**, 且GPU需要配置好Nvidia驱动, 如果还没配置好, 请[**点击这里前往Quick Start查看配置攻略**](/docs/quick-start.md#nvidia-gpu-支持)。
+目前**仅支持CPU和Nvidia GPU**, 且GPU需要配置好Nvidia驱动, 如果还没配置好, 请[**点击这里前往Quick Start查看配置攻略**](../../quick-start.md#nvidia-gpu-支持)。
 
 如果您不打算使用GPU，而是**调用api**（这也是**绝大多数用户体验最好的方式**），或者使用CPU，可以忽略此步。
 :::
@@ -151,7 +151,7 @@ openllmvtuber/open-llm-vtuber:latest
 </details>
 :::
 
-更多注意事项，可以参考 [Quick Start 里的配置 LLM 部分](/docs/quick-start.md#3-配置-llm)。
+更多注意事项，可以参考 [Quick Start 里的配置 LLM 部分](../../quick-start.md#3-配置-llm)。
 
 
 ### 运行 Docker 容器

i18n/en/docusaurus-plugin-content-docs/current/quick-start.md

@@ -55,6 +55,24 @@ This project supports various backends for speech recognition (ASR), large langu
 
 For the components selected in this quick start guide, you will need a CPU with normal speed (for ASR), a GPU supported by Ollama (for LLM), and an internet connection (for TTS).
 
+## Docker Quick Start
+
+:::info Note
+Docker is the easiest deployment method for beginners. It can deploy all components with one click and requires no manual configuration.
+:::
+
+If you're interested in Docker, please refer to the [Docker Deployment Guide](./user-guide/backend/docker.md).
+
+If you're not interested, you can skip ahead to the general setup and start from the next step: [Environment Preparation](#environment-preparation).
+
+:::note Current Docker image platform support is as follows
+| Platform | CPU Support | NVIDIA GPU Support | AMD/Intel GPU Support |
+|----------|-------------|--------------------|-----------------------|
+| Linux    | ✅          | ✅                 | ❌                    |
+| Windows  | ✅          | ✅ [(requires Nvidia driver installation)](#nvidia-gpu-support) | ❌ |
+| macOS    | ✅          | ❌                 | ❌                    |
+:::
+
 ## Environment Preparation
 
 ### Install Git

i18n/en/docusaurus-plugin-content-docs/current/user-guide/backend/docker.md

@@ -10,7 +10,7 @@ import TabItem from '@theme/TabItem';
 ## Download configuration files
 
 ### Git clone (for users familiar with git)
-First, [install git following the Quick Start](/docs/quick-start.md#安装-git), then download the Docker user configuration:
+First, [install git following the Quick Start](../../quick-start.md#install-git), then download the Docker user configuration:
 
 ```bash
 git clone https://github.com/Open-LLM-VTuber/OLV-Docker-Config
@@ -48,7 +48,7 @@ Two installation methods are supported currently:
 :::
 
 :::caution About GPU support
-Currently **only CPU and Nvidia GPU** are supported. Nvidia GPUs require proper Nvidia driver configuration. If you haven't set it up yet, please [**click here to view the setup guide in Quick Start**](/docs/quick-start.md#nvidia-gpu-支持).
+Currently **only CPU and Nvidia GPU** are supported. Nvidia GPUs require proper Nvidia driver configuration. If you haven't set it up yet, please [**click here to view the setup guide in Quick Start**](../../quick-start.md#nvidia-gpu-support).
 
 If you don't plan to use a GPU and will instead **use API calls** (this is **the best experience for most users**) or use CPU only, you can skip this step.
 :::
@@ -154,7 +154,7 @@ We recommend following these steps to use the default `Ollama` model and avoid e
 </details>
 :::
 
-For more details, refer to the LLM configuration section in [Quick Start](/docs/quick-start.md#3-配置-llm).
+For more details, refer to the LLM configuration section in [Quick Start](/docs/quick-start.md#3-configure-llm).
 
 ### Run the Docker container