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Docs: Miscellaneous editorial updates (#7865)

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### Type of change


- [x] Documentation Update
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writinwaters
2025-05-26 19:36:35 +08:00
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parent 5d6bf2224a
commit add4b13856
8 changed files with 21 additions and 11 deletions
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docs/guides/dataset/configure_knowledge_base.md
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@ -68,7 +68,7 @@ The following embedding models can be deployed locally:
- maidalun1020/bce-embedding-base_v1
:::danger IMPORTANT
Please note these two embedding models support both English and Chinese. If your knowledge base contains other languages, the performance may be COMPROMISED.
These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages.
:::
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docs/guides/dataset/run_retrieval_test.md
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@ -62,7 +62,7 @@ Using a knowledge graph in a retrieval test will significantly increase the time
### Cross-language search
To perform a cross-language search, select one or more target languages from the dropdown menu. The system’s default chat model will then translate your query entered in the Test text field into the selected target language(s). This translation ensures accurate semantic matching across languages, allowing you to retrieve relevant results regardless of language differences.
To perform a [cross-language search](../../references/glossary.mdx#cross-language-search), select one or more target languages from the dropdown menu. The system’s default chat model will then translate your query entered in the Test text field into the selected target language(s). This translation ensures accurate semantic matching across languages, allowing you to retrieve relevant results regardless of language differences.
:::tip NOTE
- When selecting target languages, please ensure that these languages are present in the knowledge base to guarantee an effective search.

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docs/guides/dataset/select_pdf_parser.md
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@ -33,7 +33,7 @@ RAGFlow isn't one-size-fits-all. It is built for flexibility and supports deeper
2. Select the option that works best with your scenario:
- DeepDoc: (Default) The default visual model for OCR, TSR, and DLR tasks, which is time-consuming.
- DeepDoc: (Default) The default visual model performing OCR, TSR, and DLR tasks on PDFs, which can be time-consuming.
- Naive: Skip OCR, TSR, and DLR tasks if *all* your PDFs are plain text.
- A third-party visual model provided by a specific model provider.

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docs/guides/dataset/set_metadata.md
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@ -25,4 +25,4 @@ Ensure that your metadata is in JSON format; otherwise, your updates will not be
### Can I set metadata for multiple documents at once?
No, RAGFlow does not support batch metadata setting. If you still consider this feature essential, please [raise an issue](https://github.com/infiniflow/ragflow/issues) explaining your use case and its importance.
No, you must set metadata *individually* for each document, as RAGFlow does not support batch setting of metadata. If you still consider this feature essential, please [raise an issue](https://github.com/infiniflow/ragflow/issues) explaining your use case and its importance.