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Add an entry in Debugging section (#481)

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### What problem does this PR solve?

_Add an entry in Debugging section._

### Type of change

- [x] Documentation Update

---------

Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
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Zhenting Gao 2024-04-24 12:21:41 +08:00 committed by GitHub
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@ -78,7 +78,16 @@ docker build -t infiniflow/ragflow:v0.3.0 . --network host
### 2. Issues with huggingface models.
#### 2.1. `MaxRetryError: HTTPSConnectionPool(host='hf-mirror.com', port=443)`
#### 2.1 If https://huggingface.co can not be accessed
- If RAGflow is installed by docker, it will automatically download the OCR and embedding modules from Huggingface website (https://huggingface.co).
- If your computer can not access https://huggingface.co, such error will appear and PDF file parsing will fail
- FileNotFoundError: [Errno 2] No such file or directory: '/root/.cache/huggingface/hub/models--InfiniFlow--deepdoc/snapshots/be0c1e50eef6047b412d1800aa89aba4d275f997/ocr.res'
- if your computer can access https://hf-mirror.com
- cd ragflow-0.3.0/docker/; docker compose down
- replace https://huggingface.co with https://hf-mirror.com in the ragflow-0.3.0/docker/docker-compose.yml
- docker compose up -d
#### 2.2. `MaxRetryError: HTTPSConnectionPool(host='hf-mirror.com', port=443)`
This error suggests that you do not have Internet access or are unable to connect to hf-mirror.com. Try the following:
@ -88,7 +97,7 @@ This error suggests that you do not have Internet access or are unable to connec
- ~/deepdoc:/ragflow/rag/res/deepdoc
```
#### 2.2 `FileNotFoundError: [Errno 2] No such file or directory: '/root/.cache/huggingface/hub/models--InfiniFlow--deepdoc/snapshots/FileNotFoundError: [Errno 2] No such file or directory: '/ragflow/rag/res/deepdoc/ocr.res'be0c1e50eef6047b412d1800aa89aba4d275f997/ocr.res'`
#### 2.3 `FileNotFoundError: [Errno 2] No such file or directory: '/root/.cache/huggingface/hub/models--InfiniFlow--deepdoc/snapshots/FileNotFoundError: [Errno 2] No such file or directory: '/ragflow/rag/res/deepdoc/ocr.res'be0c1e50eef6047b412d1800aa89aba4d275f997/ocr.res'`
1. Check your network from within Docker, for example:
```bash
@ -165,7 +174,7 @@ If your RAGFlow is deployed *locally*, try the following:
```bash
docker logs -f ragflow-server
```
2. Check if the **tast_executor.py** process exist.
2. Check if the **task_executor.py** process exist.
3. Check if your RAGFlow server can access hf-mirror.com or huggingface.com.
@ -304,7 +313,6 @@ You limit what the system responds to what you specify in **Empty response** if
![](https://github.com/infiniflow/ragflow/assets/93570324/8cfb6fa4-8a97-415d-b9fa-b6f405a055f3)
### 4. How to run RAGFlow with a locally deployed LLM?
You can use Ollama to deploy local LLM. See [here](https://github.com/infiniflow/ragflow/blob/main/docs/ollama.md) for more information.