Updated CN readme (#2661)

### What problem does this PR solve?



### Type of change


- [x] Documentation Update

README.md

@@ -220,30 +220,30 @@ This image is approximately 1 GB in size and relies on external LLM and embeddin
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
 pip3 install huggingface-hub
-python3 download_deps.py # embedding models
+python3 download_deps.py
 docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
 ```
 
 ## 🪚 Build the Docker image including embedding models
 
-This image includes embedding models and is approximately 9 GB in size, and so relies on external LLM services only.
+This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.  
 
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
 pip3 install huggingface-hub
-python3 download_deps.py # embedding models
+python3 download_deps.py
 docker build -f Dockerfile -t infiniflow/ragflow:dev .
 ```
 
 ## 🔨 Launch service from source for development
 
-1. Install Poetry, or skip this step if it is already installed:
+1. Install Poetry, or skip this step if it is already installed:  
    ```bash
    curl -sSL https://install.python-poetry.org | python3 -
    ```
 
-2. Clone the source code and install Python dependencies:
+2. Clone the source code and install Python dependencies:  
    ```bash
    git clone https://github.com/infiniflow/ragflow.git
    cd ragflow/
@@ -251,7 +251,7 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
    ~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
    ```
 
-3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
+3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:  
    ```bash
    docker compose -f docker/docker-compose-base.yml up -d
    ```
@@ -262,13 +262,13 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
    ```  
    In **docker/service_conf.yaml**, update mysql port to `5455` and es port to `1200`, as specified in **docker/.env**.
 
-4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
+4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:  
  
    ```bash
    export HF_ENDPOINT=https://hf-mirror.com
    ```
 
-5. Launch backend service:
+5. Launch backend service:  
    ```bash
    source .venv/bin/activate
    export PYTHONPATH=$(pwd)
@@ -284,7 +284,7 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
 8. Launch frontend service:  
    ```bash
    npm run dev 
-   ```
+   ```  
 
    _The following output confirms a successful launch of the system:_  
 

README_ja.md

@@ -194,6 +194,84 @@
 > $ docker-compose up -d
 > ```
 
+## 🪛 Build the Docker image without embedding models
+
+This image is approximately 1 GB in size and relies on external LLM and embedding services.
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
+```
+
+## 🪚 Build the Docker image including embedding models
+
+This image includes embedding models and is approximately 9 GB in size, and so relies on external LLM services only.
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile -t infiniflow/ragflow:dev .
+```
+
+## 🔨 Launch service from source for development
+
+1. Install Poetry, or skip this step if it is already installed:
+   ```bash
+   curl -sSL https://install.python-poetry.org | python3 -
+   ```
+
+2. Clone the source code and install Python dependencies:
+   ```bash
+   git clone https://github.com/infiniflow/ragflow.git
+   cd ragflow/
+   export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
+   ~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
+   ```
+
+3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
+   ```bash
+   docker compose -f docker/docker-compose-base.yml up -d
+   ```
+
+   Add the following line to `/etc/hosts` to resolve all hosts specified in **docker/service_conf.yaml** to `127.0.0.1`:  
+   ```
+   127.0.0.1       es01 mysql minio redis
+   ```  
+   In **docker/service_conf.yaml**, update mysql port to `5455` and es port to `1200`, as specified in **docker/.env**.
+
+4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
+ 
+   ```bash
+   export HF_ENDPOINT=https://hf-mirror.com
+   ```
+
+5. Launch backend service:
+   ```bash
+   source .venv/bin/activate
+   export PYTHONPATH=$(pwd)
+   bash docker/launch_backend_service.sh
+   ```
+
+6. Install frontend dependencies:  
+   ```bash
+   cd web
+   npm install --force
+   ```  
+7. Configure frontend to update `proxy.target` in **.umirc.ts** to `http://127.0.0.1:9380`:
+8. Launch frontend service:  
+   ```bash
+   npm run dev 
+   ```
+
+   _The following output confirms a successful launch of the system:_  
+
+   ![](https://github.com/user-attachments/assets/0daf462c-a24d-4496-a66f-92533534e187)
+
 ## 📚 ドキュメンテーション
 
 - [Quickstart](https://ragflow.io/docs/dev/)

README_ko.md

@@ -199,6 +199,84 @@
 > $ docker-compose up -d
 > ```
 
+## 🪛 Build the Docker image without embedding models
+
+This image is approximately 1 GB in size and relies on external LLM and embedding services.
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
+```
+
+## 🪚 Build the Docker image including embedding models
+
+This image includes embedding models and is approximately 9 GB in size, and so relies on external LLM services only.
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile -t infiniflow/ragflow:dev .
+```
+
+## 🔨 Launch service from source for development
+
+1. Install Poetry, or skip this step if it is already installed:
+   ```bash
+   curl -sSL https://install.python-poetry.org | python3 -
+   ```
+
+2. Clone the source code and install Python dependencies:
+   ```bash
+   git clone https://github.com/infiniflow/ragflow.git
+   cd ragflow/
+   export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
+   ~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
+   ```
+
+3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
+   ```bash
+   docker compose -f docker/docker-compose-base.yml up -d
+   ```
+
+   Add the following line to `/etc/hosts` to resolve all hosts specified in **docker/service_conf.yaml** to `127.0.0.1`:  
+   ```
+   127.0.0.1       es01 mysql minio redis
+   ```  
+   In **docker/service_conf.yaml**, update mysql port to `5455` and es port to `1200`, as specified in **docker/.env**.
+
+4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
+ 
+   ```bash
+   export HF_ENDPOINT=https://hf-mirror.com
+   ```
+
+5. Launch backend service:
+   ```bash
+   source .venv/bin/activate
+   export PYTHONPATH=$(pwd)
+   bash docker/launch_backend_service.sh
+   ```
+
+6. Install frontend dependencies:  
+   ```bash
+   cd web
+   npm install --force
+   ```  
+7. Configure frontend to update `proxy.target` in **.umirc.ts** to `http://127.0.0.1:9380`:
+8. Launch frontend service:  
+   ```bash
+   npm run dev 
+   ```
+
+   _The following output confirms a successful launch of the system:_  
+
+   ![](https://github.com/user-attachments/assets/0daf462c-a24d-4496-a66f-92533534e187)
+
 ## 📚 문서
 
 - [Quickstart](https://ragflow.io/docs/dev/)

README_zh.md

@@ -192,6 +192,84 @@
 > $ docker compose -f docker-compose-CN.yml up -d
 > ```
 
+## 🪛 源码编译 Docker 镜像（不含 embedding 模型）
+
+本 Docker 镜像大小约 1 GB 左右并且依赖外部的大模型和 embedding 服务。
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
+```
+
+## 🪚 源码编译 Docker 镜像（包含 embedding 模型）
+
+本 Docker 大小约 9 GB 左右。由于已包含 embedding 模型，所以只需依赖外部的大模型服务即可。
+
+```bash
+git clone https://github.com/infiniflow/ragflow.git
+cd ragflow/
+pip3 install huggingface-hub
+python3 download_deps.py
+docker build -f Dockerfile -t infiniflow/ragflow:dev .
+```
+
+## 🔨 以源代码启动服务
+
+1. 安装 Poetry。如已经安装，可跳过本步骤：  
+   ```bash
+   curl -sSL https://install.python-poetry.org | python3 -
+   ```
+
+2. 下载源代码并安装 Python 依赖：  
+   ```bash
+   git clone https://github.com/infiniflow/ragflow.git
+   cd ragflow/
+   export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true
+   ~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
+   ```
+
+3. 通过 Docker Compose 启动依赖的服务（MinIO, Elasticsearch, Redis, and MySQL）：  
+   ```bash
+   docker compose -f docker/docker-compose-base.yml up -d
+   ```
+
+   在 `/etc/hosts` 中添加以下代码，将 **docker/service_conf.yaml** 文件中的所有 host 地址都解析为 `127.0.0.1`：  
+   ```
+   127.0.0.1       es01 mysql minio redis
+   ```  
+   在文件 **docker/service_conf.yaml** 中，对照 **docker/.env** 的配置将 mysql 端口更新为 `5455`，es 端口更新为 `1200`。
+
+4. 如果无法访问 HuggingFace，可以把环境变量 `HF_ENDPOINT` 设成相应的镜像站点：  
+ 
+   ```bash
+   export HF_ENDPOINT=https://hf-mirror.com
+   ```
+
+5. 启动后端服务：  
+   ```bash
+   source .venv/bin/activate
+   export PYTHONPATH=$(pwd)
+   bash docker/launch_backend_service.sh
+   ```
+
+6. 安装前端依赖：  
+   ```bash
+   cd web
+   npm install --force
+   ```  
+7. 配置前端，将 **.umirc.ts** 的 `proxy.target` 更新为 `http://127.0.0.1:9380`：  
+8. 启动前端服务：  
+   ```bash
+   npm run dev 
+   ```  
+
+   _以下界面说明系统已经成功启动：_  
+
+   ![](https://github.com/user-attachments/assets/0daf462c-a24d-4496-a66f-92533534e187)
+
 ## 📚 技术文档
 
 - [Quickstart](https://ragflow.io/docs/dev/)