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Reverted some of the version changes (#5908)

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### What problem does this PR solve?



### Type of change


- [x] Documentation Update
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writinwaters 2025-03-11 16:03:11 +08:00 committed by GitHub
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commit 46b95d5cfe
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3 changed files with 4 additions and 4 deletions
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4
docs/faq.md
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@ -37,12 +37,12 @@ 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: v0.17.1-50-g6daae7f2 full
2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.15.0-50-g6daae7f2 full
```
Where:
- `v0.17.1`: The officially published release.
- `v0.15.0`: The officially published release.
- `50`: The number of git commits since the official release.
- `g6daae7f2`: `g` is the prefix, and `6daae7f2` is the first seven characters of the current commit ID.
- `full`/`slim`: The RAGFlow edition.

2
docs/guides/chat/implement_deep_research.md
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@ -9,7 +9,7 @@ Implements deep research for agentic reasoning.
---
From v0.17.1 onward, RAGFlow supports integrating agentic reasoning in an AI chat. The following diagram illustrates the workflow of RAGFlow's deep research:
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:
![Image](https://github.com/user-attachments/assets/f65d4759-4f09-4d9d-9549-c0e1fe907525)

2
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.
- **v0.17.1:** 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.
- **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.