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Updated faq.md (#636)
### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [x] Documentation Update
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docs/faq.md
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docs/faq.md
@ -193,18 +193,31 @@ docker logs -f ragflow-server
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2. Check if the **task_executor.py** process exists.
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3. Check if your RAGFlow server can access hf-mirror.com or huggingface.com.
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#### 4.5 Why does my pdf parsing stall near completion, while the log does not show any error?
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#### 4.5 `Index failure`
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If your RAGFlow is deployed *locally*, the parsing process is likely killed due to insufficient RAM. Try increasing your memory allocation by increasing the `MEM_LIMIT` value in **docker/.env**.
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> Ensure that you restart up your RAGFlow server for your changes to take effect!
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> ```bash
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> docker compose stop
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> ```
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> ```bash
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> docker compose up -d
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> ```
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#### 4.6 `Index failure`
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An index failure usually indicates an unavailable Elasticsearch service.
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#### 4.6 How to check the log of RAGFlow?
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#### 4.7 How to check the log of RAGFlow?
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```bash
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tail -f path_to_ragflow/docker/ragflow-logs/rag/*.log
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```
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#### 4.7 How to check the status of each component in RAGFlow?
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#### 4.8 How to check the status of each component in RAGFlow?
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```bash
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$ docker ps
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@ -218,7 +231,7 @@ d8c86f06c56b mysql:5.7.18 "docker-entrypoint.s…" 7 days ago Up
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cd29bcb254bc quay.io/minio/minio:RELEASE.2023-12-20T01-00-02Z "/usr/bin/docker-ent…" 2 weeks ago Up 11 hours 0.0.0.0:9001->9001/tcp, :::9001->9001/tcp, 0.0.0.0:9000->9000/tcp, :::9000->9000/tcp ragflow-minio
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```
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#### 4.8 `Exception: Can't connect to ES cluster`
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#### 4.9 `Exception: Can't connect to ES cluster`
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1. Check the status of your Elasticsearch component:
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@ -245,23 +258,26 @@ $ docker ps
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curl http://<IP_OF_ES>:<PORT_OF_ES>
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```
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#### 4.10 Can't start ES container and get `Elasticsearch did not exit normally`
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#### 4.9 `{"data":null,"retcode":100,"retmsg":"<NotFound '404: Not Found'>"}`
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This is because you forgot to update the `vm.max_map_count` value in **/etc/sysctl.conf** and your change to this value was reset after a system reboot.
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#### 4.11 `{"data":null,"retcode":100,"retmsg":"<NotFound '404: Not Found'>"}`
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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.
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#### 4.10 `Ollama - Mistral instance running at 127.0.0.1:11434 but cannot add Ollama as model in RagFlow`
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#### 4.12 `Ollama - Mistral instance running at 127.0.0.1:11434 but cannot add Ollama as model in RagFlow`
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A correct Ollama IP address and port is crucial to adding models to Ollama:
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- If you are on demo.ragflow.io, ensure that the server hosting Ollama has a publicly accessible IP address.Note that 127.0.0.1 is not a publicly accessible IP address.
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- If you deploy RAGFlow locally, ensure that Ollama and RAGFlow are in the same LAN and can comunicate with each other.
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#### 4.11 Do you offer examples of using deepdoc to parse PDF or other files?
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#### 4.13 Do you offer examples of using deepdoc to parse PDF or other files?
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Yes, we do. See the Python files under the **rag/app** folder.
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#### 4.12 Why did I fail to upload a 10MB+ file to my locally deployed RAGFlow?
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#### 4.14 Why did I fail to upload a 10MB+ file to my locally deployed RAGFlow?
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You probably forgot to update the **MAX_CONTENT_LENGTH** environment variable:
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@ -280,7 +296,7 @@ docker compose up ragflow -d
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```
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*Now you should be able to upload files of sizes less than 100MB.*
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#### 4.13 `Table 'rag_flow.document' doesn't exist`
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#### 4.15 `Table 'rag_flow.document' doesn't exist`
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This exception occurs when starting up the RAGFlow server. Try the following:
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@ -303,7 +319,7 @@ This exception occurs when starting up the RAGFlow server. Try the following:
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docker compose up
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```
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#### 4.14 `hint : 102 Fail to access model Connection error`
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#### 4.16 `hint : 102 Fail to access model Connection error`
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@ -311,6 +327,13 @@ This exception occurs when starting up the RAGFlow server. Try the following:
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2. Do not forget to append **/v1/** to **http://IP:port**:
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**http://IP:port/v1/**
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#### 4.17 `FileNotFoundError: [Errno 2] No such file or directory`
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1. Check if the status of your minio container is healthy:
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```bash
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docker ps
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```
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2. Ensure that the username and password settings of MySQL and MinIO in **docker/.env** are in line with those in **docker/service_conf.yml**.
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## Usage
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@ -344,11 +367,11 @@ You can use Ollama to deploy local LLM. See [here](https://github.com/infiniflow
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2. Right click the desired knowledge base to display the **Configuration** dialogue.
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3. Choose **Q&A** as the chunk method and click **Save** to confirm your change.
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### Do I need to connect to Redis?
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### 7 Do I need to connect to Redis?
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No, connecting to Redis is not required.
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### `Error: Range of input length should be [1, 30000]`
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### 8 `Error: Range of input length should be [1, 30000]`
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This error occurs because there are too many chunks matching your search criteria. Try reducing the **TopN** and increasing **Similarity threshold** to fix this issue:
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@ -358,3 +381,25 @@ This error occurs because there are too many chunks matching your search criteri
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4. Click **OK** to confirm your changes.
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### 9 How to update RAGFlow to the latest version?
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1. Pull the latest source code
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```bash
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cd ragflow
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git pull
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```
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2. If you used `docker compose up -d` to start up RAGFlow server:
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```bash
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docker pull infiniflow/ragflow:dev
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```
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```bash
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docker compose up ragflow -d
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```
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3. If you used `docker compose -f docker-compose-CN.yml up -d` to start up RAGFlow server:
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```bash
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docker pull swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev
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```
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```bash
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docker compose -f docker-compose-CN.yml up -d
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```
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