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Updated how to handle stalled file parsing #851

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May 21, 2024
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Updated how to handle stalled file parsing #851

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16 changes: 9 additions & 7 deletions docs/faq.md
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Original file line number Diff line number Diff line change
Expand Up @@ -186,12 +186,14 @@ Parsing requests have to wait in queue due to limited server resources. We are c

If your RAGFlow is deployed *locally*, try the following:

1. Check the log of your RAGFlow server to see if it is running properly:
```bash
docker logs -f ragflow-server
```
2. Check if the **task_executor.py** process exists.
3. Check if your RAGFlow server can access hf-mirror.com or huggingface.com.
1. Click the red cross icon next to **Parsing Status** and refresh the file parsing process.
2. If the issue still persists, try the following:
- check the log of your RAGFlow server to see if it is running properly:
```bash
docker logs -f ragflow-server
```
- Check if the **task_executor.py** process exists.
- Check if your RAGFlow server can access hf-mirror.com or huggingface.com.

#### 4.5 Why does my pdf parsing stall near completion, while the log does not show any error?

Expand Down Expand Up @@ -264,7 +266,7 @@ This is because you forgot to update the `vm.max_map_count` value in **/etc/sysc

#### 4.11 `{"data":null,"retcode":100,"retmsg":"<NotFound '404: Not Found'>"}`

Your IP address or port number may be incorrect. If you are using the default configurations, enter http://<IP_OF_YOUR_MACHINE> (**NOT 9380, AND NO PORT NUMBER REQUIRED!**) in your browser. This should work.
Your IP address or port number may be incorrect. If you are using the default configurations, enter `http://<IP_OF_YOUR_MACHINE>` (**NOT 9380, AND NO PORT NUMBER REQUIRED!**) in your browser. This should work.

#### 4.12 `Ollama - Mistral instance running at 127.0.0.1:11434 but cannot add Ollama as model in RagFlow`

Expand Down