### What problem does this PR solve?

Fix typos in the documents

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
This commit is contained in:
Jin Hai
2025-01-27 15:45:16 +08:00
committed by GitHub
parent ce8658aa84
commit d970d0ef39
13 changed files with 51 additions and 51 deletions

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@ -22,7 +22,7 @@ _Each time a knowledge base is created, a folder with the same name is generated
## Configure knowledge base
The following screen shot shows the configuration page of a knowledge base. A proper configuration of your knowledge base is crucial for future AI chats. For example, choosing the wrong embedding model or chunk method would cause unexpected semantic loss or mismatched answers in chats.
The following screenshot shows the configuration page of a knowledge base. A proper configuration of your knowledge base is crucial for future AI chats. For example, choosing the wrong embedding model or chunk method would cause unexpected semantic loss or mismatched answers in chats.
![knowledge base configuration](https://github.com/infiniflow/ragflow/assets/93570324/384c671a-8b9c-468c-b1c9-1401128a9b65)
@ -39,18 +39,18 @@ This section covers the following topics:
RAGFlow offers multiple chunking template to facilitate chunking files of different layouts and ensure semantic integrity. In **Chunk method**, you can choose the default template that suits the layouts and formats of your files. The following table shows the descriptions and the compatible file formats of each supported chunk template:
| **Template** | Description | File format |
| ------------ | ------------------------------------------------------------ | ---------------------------------------------------- |
| **Template** | Description | File format |
|--------------|-----------------------------------------------------------------------|------------------------------------------------------|
| General | Files are consecutively chunked based on a preset chunk token number. | DOCX, EXCEL, PPT, PDF, TXT, JPEG, JPG, PNG, TIF, GIF |
| Q&A | | EXCEL, CSV/TXT |
| Manual | | PDF |
| Table | | EXCEL, CSV/TXT |
| Paper | | PDF |
| Book | | DOCX, PDF, TXT |
| Laws | | DOCX, PDF, TXT |
| Presentation | | PDF, PPTX |
| Picture | | JPEG, JPG, PNG, TIF, GIF |
| One | The entire document is chunked as one. | DOCX, EXCEL, PDF, TXT |
| Q&A | | EXCEL, CSV/TXT |
| Manual | | PDF |
| Table | | EXCEL, CSV/TXT |
| Paper | | PDF |
| Book | | DOCX, PDF, TXT |
| Laws | | DOCX, PDF, TXT |
| Presentation | | PDF, PPTX |
| Picture | | JPEG, JPG, PNG, TIF, GIF |
| One | The entire document is chunked as one. | DOCX, EXCEL, PDF, TXT |
You can also change the chunk template for a particular file on the **Datasets** page.
@ -82,7 +82,7 @@ While uploading files directly to a knowledge base seems more convenient, we *hi
### Parse file
File parsing is a crucial topic in knowledge base configuration. The meaning of file parsing in RAGFlow is twofold: chunking files based on file layout and building embedding and full-text (keyword) indexes on these chunks. After having selected the chunk method and embedding model, you can start parsing an file:
File parsing is a crucial topic in knowledge base configuration. The meaning of file parsing in RAGFlow is twofold: chunking files based on file layout and building embedding and full-text (keyword) indexes on these chunks. After having selected the chunk method and embedding model, you can start parsing a file:
![parse file](https://github.com/infiniflow/ragflow/assets/93570324/5311f166-6426-447f-aa1f-bd488f1cfc7b)
@ -121,8 +121,8 @@ You can add keywords to a file chunk to increase its ranking for queries contain
RAGFlow uses multiple recall of both full-text search and vector search in its chats. Prior to setting up an AI chat, consider adjusting the following parameters to ensure that the intended information always turns up in answers:
- Similarity threshold: Chunks with similarities below the threshold will be filtered. Defaultly set to 0.2.
- Vector similarity weight: The percentage by which vector similarity contributes to the overall score. Defaultly set to 0.3.
- Similarity threshold: Chunks with similarities below the threshold will be filtered. By default, it is set to 0.2.
- Vector similarity weight: The percentage by which vector similarity contributes to the overall score. By default, it is set to 0.3.
![retrieval test](https://github.com/infiniflow/ragflow/assets/93570324/c03f06f6-f41f-4b20-a97e-ae405d3a950c)