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fix system note (#11368)

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Shengsheng Huang 2024-06-20 11:09:53 +08:00 committed by GitHub
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docs/readthedocs/source/doc/LLM/Quickstart/ragflow_quickstart.md
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@ -69,6 +69,13 @@ Now we need to pull a model for RAG using Ollama. Here we use [Qwen/Qwen2-7B](ht
### 3. Start `RAGFlow` Service
```eval_rst
.. note::
The steps in section 3 is verified on Linux system only.
```
#### 3.1 Download `RAGFlow`
You can either clone the repository or download the source zip from [github](https://github.com/infiniflow/ragflow/archive/refs/heads/main.zip):
@ -109,28 +116,13 @@ Build the pre-built Docker images and start up the server:
Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.7.0`, before running the following commands.
```
```eval_rst
.. tabs::
.. tab:: Linux
.. code-block:: bash
export no_proxy=localhost,127.0.0.1
cd ragflow/docker
chmod +x ./entrypoint.sh
docker compose up -d
.. tab:: Windows
Please run the following command in Miniforge or Anaconda Prompt.
.. code-block:: cmd
set no_proxy=localhost,127.0.0.1
cd ragflow/docker
chmod +x ./entrypoint.sh
docker compose up -d
```bash
$ export no_proxy=localhost,127.0.0.1
$ cd ragflow/docker
$ chmod +x ./entrypoint.sh
$ docker compose up -d
```
```eval_rst