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Docs: prepare docs for release v0.17.1 (#5900)

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### What problem does this PR solve?


### Type of change

- [x] Documentation Update
This commit is contained in:
Kevin Hu
2025-03-11 14:39:41 +08:00
committed by GitHub
parent 9c953a67a6
commit d44739283c
24 changed files with 258 additions and 247 deletions
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2
docs/guides/chat/implement_deep_research.md
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@ -9,7 +9,7 @@ Implements deep research for agentic reasoning.
---
From v0.17.0 onward, RAGFlow supports integrating agentic reasoning in an AI chat. The following diagram illustrates the workflow of RAGFlow's deep research:
From v0.17.1 onward, RAGFlow supports integrating agentic reasoning in an AI chat. The following diagram illustrates the workflow of RAGFlow's deep research:
![Image](https://github.com/user-attachments/assets/f65d4759-4f09-4d9d-9549-c0e1fe907525)

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docs/guides/dataset/accelerate_doc_indexing.mdx
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@ -16,4 +16,4 @@ Please note that some of your settings may consume a significant amount of time.
- On the configuration page of your knowledge base, switch off **Use RAPTOR to enhance retrieval**.
- Extracting knowledge graph (GraphRAG) is time-consuming.
- Disable **Auto-keyword** and **Auto-question** on the configuration page of yor knowledge base, as both depend on the LLM.
- **v0.17.0:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.
- **v0.17.1:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.

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docs/guides/dataset/configure_knowledge_base.md
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@ -130,7 +130,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for knowledge base
As of RAGFlow v0.17.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.17.1, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)

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docs/guides/manage_files.md
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@ -85,4 +85,4 @@ RAGFlow's file management allows you to download an uploaded file:
![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)
> As of RAGFlow v0.17.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.17.1, bulk download is not supported, nor can you download an entire folder.

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docs/guides/upgrade_ragflow.mdx
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@ -62,16 +62,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git clone https://github.com/infiniflow/ragflow.git
```
2. Switch to the latest, officially published release, e.g., `v0.17.0`:
2. Switch to the latest, officially published release, e.g., `v0.17.1`:
```bash
git checkout -f v0.17.0
git checkout -f v0.17.1
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1
```
4. Update the RAGFlow image and restart RAGFlow: