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Feat: Support PaddleOCR-VL-1.5 interface (#12819)

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### What problem does this PR solve?

This PR adds support to PaddleOCR-VL-1.5 interface to the PaddleOCR PDF
Parser.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Lin Manhui
2026-01-27 09:49:46 +08:00
committed by GitHub
parent e20d56a34c
commit 27a36344d4
3 changed files with 26 additions and 20 deletions
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28
docs/faq.mdx
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@ -43,11 +43,11 @@ You can find the RAGFlow version number on the **System** page of the UI:
If you build RAGFlow from source, the version number is also in the system log:
```
____ ___ ______ ______ __
____ ___ ______ ______ __
/ __ \ / | / ____// ____// /____ _ __
/ /_/ // /| | / / __ / /_ / // __ \| | /| / /
/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.15.0-50-g6daae7f2
```
@ -177,7 +177,7 @@ To fix this issue, use https://hf-mirror.com instead:
3. Start up the server:
```bash
docker compose up -d
docker compose up -d
```
---
@ -210,11 +210,11 @@ You will not log in to RAGFlow unless the server is fully initialized. Run `dock
*The server is successfully initialized, if your system displays the following:*
```
____ ___ ______ ______ __
____ ___ ______ ______ __
/ __ \ / | / ____// ____// /____ _ __
/ /_/ // /| | / / __ / /_ / // __ \| | /| / /
/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:9380
@ -317,7 +317,7 @@ The status of a Docker container status does not necessarily reflect the status
$ docker ps
```
*The status of a healthy Elasticsearch component should look as follows:*
*The status of a healthy Elasticsearch component should look as follows:*
```
91220e3285dd docker.elastic.co/elasticsearch/elasticsearch:8.11.3 "/bin/tini -- /usr/l…" 11 hours ago Up 11 hours (healthy) 9300/tcp, 0.0.0.0:9200->9200/tcp, :::9200->9200/tcp ragflow-es-01
@ -370,7 +370,7 @@ Yes, we do. See the Python files under the **rag/app** folder.
$ docker ps
```
*The status of a healthy Elasticsearch component should look as follows:*
*The status of a healthy Elasticsearch component should look as follows:*
```bash
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
@ -453,7 +453,7 @@ See [Upgrade RAGFlow](./guides/upgrade_ragflow.mdx) for more information.
To switch your document engine from Elasticsearch to [Infinity](https://github.com/infiniflow/infinity):
1. Stop all running containers:
1. Stop all running containers:
```bash
$ docker compose -f docker/docker-compose.yml down -v
@ -463,7 +463,7 @@ To switch your document engine from Elasticsearch to [Infinity](https://github.c
:::
2. In **docker/.env**, set `DOC_ENGINE=${DOC_ENGINE:-infinity}`
3. Restart your Docker image:
3. Restart your Docker image:
```bash
$ docker compose -f docker-compose.yml up -d
@ -508,12 +508,12 @@ From v0.22.0 onwards, RAGFlow includes MinerU (≥ 2.6.3) as an optional PDF pa
- `"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_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:
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.
@ -600,7 +600,7 @@ This method uses PaddleOCR's official API service with an access token.
- If using custom ingestion pipeline, select **PaddleOCR** in the **Parser** component
**Notes:**
- To obtain the API URL, visit the [PaddleOCR official website](https://aistudio.baidu.com/paddleocr/task), click the **API** button in the upper-left corner, choose the example code for the specific algorithm you want to use (e.g., PaddleOCR-VL), and copy the `API_URL`.
- To obtain the API URL, visit the [PaddleOCR official website](https://aistudio.baidu.com/paddleocr), click the **API** button, choose the example code for the specific algorithm you want to use (e.g., PaddleOCR-VL), and copy the `API_URL`.
- Access tokens can be obtained from the [AI Studio platform](https://aistudio.baidu.com/account/accessToken).
- This method requires internet connectivity to reach the official PaddleOCR API.