Updated Launch service from source (#856)

### What problem does this PR solve?

Some nitpicking editorial updates.

### Type of change

- [x] Documentation Update

README.md

@@ -191,88 +191,99 @@ $ chmod +x ./entrypoint.sh
 $ docker compose up -d
 ```
 
-## 🛠️ Launch Service from Source
+## 🛠️ Launch service from source
 
-To launch the service from source, please follow these steps:
+To launch the service from source:
 
-1. Clone the repository
-```bash
-$ git clone https://github.com/infiniflow/ragflow.git
-$ cd ragflow/
-```
+1. Clone the repository: 
 
-2. Create a virtual environment (ensure Anaconda or Miniconda is installed)
-```bash
-$ conda create -n ragflow python=3.11.0
-$ conda activate ragflow
-$ pip install -r requirements.txt
-```
-If CUDA version is greater than 12.0, execute the following additional commands:
-```bash
-$ pip uninstall -y onnxruntime-gpu
-$ pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
-```
+   ```bash
+   $ git clone https://github.com/infiniflow/ragflow.git
+   $ cd ragflow/
+   ```
 
-3. Copy the entry script and configure environment variables
-```bash
-$ cp docker/entrypoint.sh .
-$ vi entrypoint.sh
-```
-Use the following commands to obtain the Python path and the ragflow project path:
-```bash
-$ which python
-$ pwd
-```
+2. Create a virtual environment, ensuring that Anaconda or Miniconda is installed:
 
-Set the output of `which python` as the value for `PY` and the output of `pwd` as the value for `PYTHONPATH`.
+   ```bash
+   $ conda create -n ragflow python=3.11.0
+   $ conda activate ragflow
+   $ pip install -r requirements.txt
+   ```
+   
+   ```bash
+   # If your CUDA version is higher than 12.0, run the following additional commands:
+   $ pip uninstall -y onnxruntime-gpu
+   $ pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
+   ```
 
-If `LD_LIBRARY_PATH` is already configured, it can be commented out.
+3. Copy the entry script and configure environment variables:
 
-```bash
-# Adjust configurations according to your actual situation; the two export commands are newly added.
-PY=${PY}
-export PYTHONPATH=${PYTHONPATH}
-# Optional: Add Hugging Face mirror
-export HF_ENDPOINT=https://hf-mirror.com
-```
+   ```bash
+   # Get the Python path:
+   $ which python
+   # Get the ragflow project path:
+   $ pwd
+   ```
+   
+   ```bash
+   $ cp docker/entrypoint.sh .
+   $ vi entrypoint.sh
+   ```
 
-4. Start the base services
-```bash
-$ cd docker
-$ docker compose -f docker-compose-base.yml up -d 
-```
+   ```bash
+   # Adjust configurations according to your actual situation (the following two export commands are newly added):
+   # - Assign the result of `which python` to `PY`.
+   # - Assign the result of `pwd` to `PYTHONPATH`.
+   # - Comment out `LD_LIBRARY_PATH`, if it is configured.
+   # - Optional: Add Hugging Face mirror.
+   PY=${PY}
+   export PYTHONPATH=${PYTHONPATH}
+   export HF_ENDPOINT=https://hf-mirror.com
+   ```
 
-5. Check the configuration files
-Ensure that the settings in **docker/.env** match those in **conf/service_conf.yaml**. The IP addresses and ports for related services in **service_conf.yaml** should be changed to the local machine IP and ports exposed by the container.
+4. Launch the third-party services (MinIO, Elasticsearch, Redis, and MySQL):
 
-6. Launch the service
-```bash
-$ chmod +x ./entrypoint.sh
-$ bash ./entrypoint.sh
-```
+   ```bash
+   $ cd docker
+   $ docker compose -f docker-compose-base.yml up -d 
+   ```
 
-7. Start the WebUI service
-```bash
-$ cd web
-$ npm install --registry=https://registry.npmmirror.com --force
-$ vim .umirc.ts
-# Modify proxy.target to 127.0.0.1:9380
-$ npm run dev 
-```
+5. Check the configuration files, ensuring that:
 
-8. Deploy the WebUI service
-```bash
-$ cd web
-$ npm install --registry=https://registry.npmmirror.com --force
-$ umi build
-$ mkdir -p /ragflow/web
-$ cp -r dist /ragflow/web
-$ apt install nginx -y
-$ cp ../docker/nginx/proxy.conf /etc/nginx
-$ cp ../docker/nginx/nginx.conf /etc/nginx
-$ cp ../docker/nginx/ragflow.conf /etc/nginx/conf.d
-$ systemctl start nginx
-```
+   - The settings in **docker/.env** match those in **conf/service_conf.yaml**. 
+   - The IP addresses and ports for related services in **service_conf.yaml** match the local machine IP and ports exposed by the container.
+
+6. Launch the RAGFlow backend service:
+
+   ```bash
+   $ chmod +x ./entrypoint.sh
+   $ bash ./entrypoint.sh
+   ```
+
+7. Launch the frontend service:
+
+   ```bash
+   $ cd web
+   $ npm install --registry=https://registry.npmmirror.com --force
+   $ vim .umirc.ts
+   # Update proxy.target to 127.0.0.1:9380
+   $ npm run dev 
+   ```
+
+8. Deploy the frontend service:
+
+   ```bash
+   $ cd web
+   $ npm install --registry=https://registry.npmmirror.com --force
+   $ umi build
+   $ mkdir -p /ragflow/web
+   $ cp -r dist /ragflow/web
+   $ apt install nginx -y
+   $ cp ../docker/nginx/proxy.conf /etc/nginx
+   $ cp ../docker/nginx/nginx.conf /etc/nginx
+   $ cp ../docker/nginx/ragflow.conf /etc/nginx/conf.d
+   $ systemctl start nginx
+   ```
 
 ## 📚 Documentation