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Docs: How to call MinerU as a remote service (#12004)

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- [x] Documentation Update
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37
docs/faq.mdx
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@ -493,18 +493,35 @@ See [here](./guides/agent/best_practices/accelerate_agent_question_answering.md)
### How to use MinerU to parse PDF documents?
MinerU PDF document parsing is available starting from v0.22.0. RAGFlow works only as a remote client to MinerU (>= 2.6.3) and does not install or execute MinerU locally. To use this feature:
From v0.22.0 onwards, RAGFlow includes MinerU (≥ 2.6.3) as an optional PDF parser of multiple backends. Please note that RAGFlow acts only as a *remote client* for MinerU, calling the MinerU API to parse PDFs and reading the returned files. To use this feature:
1. Prepare a reachable MinerU API service (for example, the FastAPI server provided by MinerU).
2. Configure RAGFlow with remote MinerU settings (environment variables or UI model provider):
- `MINERU_APISERVER`: MinerU API endpoint, for example `http://mineru-host:8886`.
- `MINERU_BACKEND`: MinerU backend, defaults to `pipeline` (supports `vlm-http-client`, `vlm-transformers`, `vlm-vllm-engine`, `vlm-mlx-engine`, `vlm-vllm-async-engine`, `vlm-lmdeploy-engine`).
- `MINERU_SERVER_URL`: (optional) For `vlm-http-client`, the downstream vLLM HTTP server, for example `http://vllm-host:30000`.
- `MINERU_OUTPUT_DIR`: (optional) Local directory to store MinerU API outputs (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temp dir is used (`1` deletes temp outputs; set `0` to keep).
3. In the web UI, navigate to the **Configuration** page of your dataset. Click **Built-in** in the **Ingestion pipeline** section, select a chunking method from the **Built-in** dropdown (which supports PDF parsing), and select **MinerU** in **PDF parser**.
4. If you use a custom ingestion pipeline instead, provide the same MinerU settings and select **MinerU** in the **Parsing method** section of the **Parser** component.
1. Prepare a reachable MinerU API service (FastAPI server).
2. In the **.env** file or from the **Model providers** page in the UI, configure RAGFlow as a remote client to MinerU:
- `MINERU_APISERVER`: The MinerU API endpoint (e.g., `http://mineru-host:8886`).
- `MINERU_BACKEND`: The MinerU backend:
- `"pipeline"` (default)
- `"vlm-http-client"`
- `"vlm-transformers"`
- `"vlm-vllm-engine"`
- `"vlm-mlx-engine"`
- `"vlm-vllm-async-engine"`
- `"vlm-lmdeploy-engine"`.
- `MINERU_SERVER_URL`: (optional) The downstream vLLM HTTP server (e.g., `http://vllm-host:30000`). Applicable when `MINERU_BACKEND` is set to `"vlm-http-client"`.
- `MINERU_OUTPUT_DIR`: (optional) The local directory for holding the outputs of the MinerU API service (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temporary directory is used:
- `1`: Delete.
- `0`: Retain.
3. In the web UI, navigate to your dataset's **Configuration** page and find the **Ingestion pipeline** section:
- If you decide to use a chunking method from the **Built-in** dropdown, ensure it supports PDF parsing, then select **MinerU** from the **PDF parser** dropdown.
- If you use a custom ingestion pipeline instead, select **MinerU** in the **PDF parser** section of the **Parser** component.
:::note
All MinerU environment variables are optional. When set, these values are used to auto-provision a MinerU OCR model for the tenant on first use. To avoid auto-provisioning, skip the environment variable settings and only configure MinerU from the **Model providers** page in the UI.
:::
:::caution WARNING
Third-party visual models are marked **Experimental**, because we have not fully tested these models for the aforementioned data extraction tasks.
:::
---
### How to configure MinerU-specific settings?

4
docs/guides/agent/agent_component_reference/code.mdx
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@ -24,7 +24,7 @@ We use gVisor to isolate code execution from the host system. Please follow [the
RAGFlow Sandbox is a secure, pluggable code execution backend. It serves as the code executor for the **Code** component. Please follow the [instructions here](https://github.com/infiniflow/ragflow/tree/main/sandbox) to install RAGFlow Sandbox.
:::note Docker client version
The executor manager image now bundles Docker CLI `29.1.0` (API 1.44+). Older images shipped Docker 24.x and will fail against newer Docker daemons with `client version 1.43 is too old`. Pull the latest `infiniflow/sandbox-executor-manager:latest` or rebuild `./sandbox/executor_manager` if you encounter this error.
The executor manager image now bundles Docker CLI `29.1.0` (API 1.44+). Older images shipped Docker 24.x and will fail against newer Docker daemons with `client version 1.43 is too old`. Pull the latest `infiniflow/sandbox-executor-manager:latest` or rebuild it in `./sandbox/executor_manager` if you encounter this error.
:::
:::tip NOTE
@ -134,7 +134,7 @@ Your executor manager image includes Docker CLI 24.x (API 1.43), but the host Do
**Solution**
Pull the latest executor manager image or rebuild it locally to upgrade the built-in Docker client:
Pull the latest executor manager image or rebuild it in `./sandbox/executor_manager` to upgrade the built-in Docker client:
```bash
docker pull infiniflow/sandbox-executor-manager:latest

30
docs/guides/agent/agent_component_reference/parser.md
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@ -40,21 +40,31 @@ The output of a PDF parser is `json`. In the PDF parser, you select the parsing
- A third-party visual model from a specific model provider.
:::danger IMPORTANT
MinerU PDF document parsing is available starting from v0.22.0. RAGFlow supports MinerU (>= 2.6.3) as an optional PDF parser with multiple backends. RAGFlow acts only as a **remote client** for MinerU, calling the MinerU API to parse documents, reading the returned output files, and ingesting the parsed content. To use this feature:
Starting from v0.22.0, RAGFlow includes MinerU (≥ 2.6.3) as an optional PDF parser of multiple backends. Please note that RAGFlow acts only as a *remote client* for MinerU, calling the MinerU API to parse documents and reading the returned files. To use this feature:
:::
1. Prepare a reachable MinerU API service (FastAPI server).
2. Configure RAGFlow with the remote MinerU settings (env or UI model provider):
- `MINERU_APISERVER`: MinerU API endpoint, for example `http://mineru-host:8886`.
- `MINERU_BACKEND`: MinerU backend, defaults to `pipeline` (supports `vlm-http-client`, `vlm-transformers`, `vlm-vllm-engine`, `vlm-mlx-engine`, `vlm-vllm-async-engine`, `vlm-lmdeploy-engine`).
- `MINERU_SERVER_URL`: (optional) For `vlm-http-client`, the downstream vLLM HTTP server, for example `http://vllm-host:30000`.
- `MINERU_OUTPUT_DIR`: (optional) Local directory to store MinerU API outputs (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temp dir is used (`1` deletes temp outputs; set `0` to keep).
3. In the web UI, navigate to the **Configuration** page of your dataset. Click **Built-in** in the **Ingestion pipeline** section, select a chunking method from the **Built-in** dropdown, which supports PDF parsing, and select **MinerU** in **PDF parser**.
4. If you use a custom ingestion pipeline instead, provide the same MinerU settings and select **MinerU** in the **Parsing method** section of the **Parser** component.
2. In the **.env** file or from the **Model providers** page in the UI, configure RAGFlow as a remote client to MinerU:
- `MINERU_APISERVER`: The MinerU API endpoint (e.g., `http://mineru-host:8886`).
- `MINERU_BACKEND`: The MinerU backend:
- `"pipeline"` (default)
- `"vlm-http-client"`
- `"vlm-transformers"`
- `"vlm-vllm-engine"`
- `"vlm-mlx-engine"`
- `"vlm-vllm-async-engine"`
- `"vlm-lmdeploy-engine"`.
- `MINERU_SERVER_URL`: (optional) The downstream vLLM HTTP server (e.g., `http://vllm-host:30000`). Applicable when `MINERU_BACKEND` is set to `"vlm-http-client"`.
- `MINERU_OUTPUT_DIR`: (optional) The local directory for holding the outputs of the MinerU API service (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temporary directory is used:
- `1`: Delete.
- `0`: Retain.
3. In the web UI, navigate to your dataset's **Configuration** page and find the **Ingestion pipeline** section:
- If you decide to use a chunking method from the **Built-in** dropdown, ensure it supports PDF parsing, then select **MinerU** from the **PDF parser** dropdown.
- If you use a custom ingestion pipeline instead, select **MinerU** in the **PDF parser** section of the **Parser** component.
:::note
All MinerU environment variables are optional. If set, RAGFlow will auto-provision a MinerU OCR model for the tenant on first use with these values. To avoid auto-provisioning, configure MinerU solely through the UI and leave the env vars unset.
All MinerU environment variables are optional. When set, these values are used to auto-provision a MinerU OCR model for the tenant on first use. To avoid auto-provisioning, skip the environment variable settings and only configure MinerU from the **Model providers** page in the UI.
:::
:::caution WARNING

2
docs/guides/agent/sandbox_quickstart.md
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@ -29,7 +29,7 @@ The architecture consists of isolated Docker base images for each supported lang
- (Optional) GNU Make for simplified command-line management.
:::tip NOTE
The error message `client version 1.43 is too old. Minimum supported API version is 1.44` indicates that your executor manager image's built-in Docker CLI version is lower than `29.1.0` required by the Docker daemon in use. To solve this issue, pull the latest `infiniflow/sandbox-executor-manager:latest` from Docker Hub (or rebuild `./sandbox/executor_manager`).
The error message `client version 1.43 is too old. Minimum supported API version is 1.44` indicates that your executor manager image's built-in Docker CLI version is lower than `29.1.0` required by the Docker daemon in use. To solve this issue, pull the latest `infiniflow/sandbox-executor-manager:latest` from Docker Hub or rebuild it in `./sandbox/executor_manager`.
:::
## Build Docker base images

9
docs/guides/dataset/add_data_source/add_google_drive.md
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@ -45,7 +45,7 @@ Google Cloud external project.
http://localhost:9380/v1/connector/google-drive/oauth/web/callback
```
### If using Docker deployment:
- If using Docker deployment:
**Authorized JavaScript origin:**
```
@ -53,15 +53,16 @@ http://localhost:80
```
![placeholder-image](https://github.com/infiniflow/ragflow-docs/blob/040e4acd4c1eac6dc73dc44e934a6518de78d097/images/google_drive/image8.png?raw=true)
### If running from source:
- If running from source:
**Authorized JavaScript origin:**
```
http://localhost:9222
```
![placeholder-image](https://github.com/infiniflow/ragflow-docs/blob/040e4acd4c1eac6dc73dc44e934a6518de78d097/images/google_drive/image9.png?raw=true)
5. After saving, click **Download JSON**. This file will later be
uploaded into RAGFlow.
5. After saving, click **Download JSON**. This file will later be uploaded into RAGFlow.
![placeholder-image](https://github.com/infiniflow/ragflow-docs/blob/040e4acd4c1eac6dc73dc44e934a6518de78d097/images/google_drive/image10.png?raw=true)

34
docs/guides/dataset/select_pdf_parser.md
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@ -40,21 +40,31 @@ RAGFlow isn't one-size-fits-all. It is built for flexibility and supports deeper
- A third-party visual model from a specific model provider.
:::danger IMPORTANT
MinerU PDF document parsing is available starting from v0.22.0. RAGFlow supports MinerU (>= 2.6.3) as an optional PDF parser with multiple backends. RAGFlow acts only as a **remote client** for MinerU, calling the MinerU API to parse documents, reading the returned output files, and ingesting the parsed content. To use this feature:
1. Prepare a reachable MinerU API service (FastAPI server).
2. Configure RAGFlow with the remote MinerU settings (env or UI model provider):
- `MINERU_APISERVER`: MinerU API endpoint, for example `http://mineru-host:8886`.
- `MINERU_BACKEND`: MinerU backend, defaults to `pipeline` (supports `vlm-http-client`, `vlm-transformers`, `vlm-vllm-engine`, `vlm-mlx-engine`, `vlm-vllm-async-engine`).
- `MINERU_SERVER_URL`: (optional) For `vlm-http-client`, the downstream vLLM HTTP server, for example `http://vllm-host:30000`.
- `MINERU_OUTPUT_DIR`: (optional) Local directory to store MinerU API outputs (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temp dir is used (`1` deletes temp outputs; set `0` to keep).
3. In the web UI, navigate to the **Configuration** page of your dataset. Click **Built-in** in the **Ingestion pipeline** section, select a chunking method from the **Built-in** dropdown, which supports PDF parsing, and select **MinerU** in **PDF parser**.
4. If you use a custom ingestion pipeline instead, provide the same MinerU settings and select **MinerU** in the **Parsing method** section of the **Parser** component.
Starting from v0.22.0, RAGFlow includes MinerU (≥ 2.6.3) as an optional PDF parser of multiple backends. Please note that RAGFlow acts only as a *remote client* for MinerU, calling the MinerU API to parse documents and reading the returned files. To use this feature:
:::
1. Prepare a reachable MinerU API service (FastAPI server).
2. In the **.env** file or from the **Model providers** page in the UI, configure RAGFlow as a remote client to MinerU:
- `MINERU_APISERVER`: The MinerU API endpoint (e.g., `http://mineru-host:8886`).
- `MINERU_BACKEND`: The MinerU backend:
- `"pipeline"` (default)
- `"vlm-http-client"`
- `"vlm-transformers"`
- `"vlm-vllm-engine"`
- `"vlm-mlx-engine"`
- `"vlm-vllm-async-engine"`
- `"vlm-lmdeploy-engine"`.
- `MINERU_SERVER_URL`: (optional) The downstream vLLM HTTP server (e.g., `http://vllm-host:30000`). Applicable when `MINERU_BACKEND` is set to `"vlm-http-client"`.
- `MINERU_OUTPUT_DIR`: (optional) The local directory for holding the outputs of the MinerU API service (zip/JSON) before ingestion.
- `MINERU_DELETE_OUTPUT`: Whether to delete temporary output when a temporary directory is used:
- `1`: Delete.
- `0`: Retain.
3. In the web UI, navigate to your dataset's **Configuration** page and find the **Ingestion pipeline** section:
- If you decide to use a chunking method from the **Built-in** dropdown, ensure it supports PDF parsing, then select **MinerU** from the **PDF parser** dropdown.
- If you use a custom ingestion pipeline instead, select **MinerU** in the **PDF parser** section of the **Parser** component.
:::note
All MinerU environment variables are optional. When they are set, RAGFlow will auto-create a MinerU OCR model for a tenant on first use using these values. If you do not want this auto-provisioning, configure MinerU only through the UI and leave the env vars unset.
All MinerU environment variables are optional. When set, these values are used to auto-provision a MinerU OCR model for the tenant on first use. To avoid auto-provisioning, skip the environment variable settings and only configure MinerU from the **Model providers** page in the UI.
:::
:::caution WARNING

4
sandbox/README.md
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@ -36,7 +36,7 @@ A secure, pluggable code execution backend for RAGFlow and beyond.
> ⚠️ **New Docker CLI requirement**
>
> If you see `client version 1.43 is too old. Minimum supported API version is 1.44`, pull the latest `infiniflow/sandbox-executor-manager:latest` (rebuilt with Docker CLI `29.1.0`) or rebuild `./sandbox/executor_manager` locally. Older images shipped Docker 24.x, which cannot talk to newer Docker daemons.
> If you see `client version 1.43 is too old. Minimum supported API version is 1.44`, pull the latest `infiniflow/sandbox-executor-manager:latest` (rebuilt with Docker CLI `29.1.0`) or rebuild it in `./sandbox/executor_manager`. Older images shipped Docker 24.x, which cannot talk to newer Docker daemons.
### 🐳 Build Docker Base Images
@ -304,7 +304,7 @@ Follow this checklist to troubleshoot:
**Fix:**
Pull the refreshed image that bundles Docker CLI `29.1.0`, or rebuild locally:
Pull the refreshed image that bundles Docker CLI `29.1.0`, or rebuild it in `./sandbox/executor_manager`:
```bash
docker pull infiniflow/sandbox-executor-manager:latest