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add JiebaLinkExtractor for chinese doc extracting (#30150)

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Thank you for contributing to LangChain!

- [ ] **PR title**: "community: chinese doc extracting"


- [ ] **PR message**: 
- **Description:** add jieba_link_extractor.py for chinese doc
extracting
    - **Dependencies:** jieba


- [ ] **Add tests and docs**: If you're adding a new integration, please
include
  /doc/doc/integrations/providers/jieba.md
  /doc/doc/integrations/vectorstores/jieba_link_extractor.ipynb
  /libs/packages.yml

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Co-authored-by: Chester Curme <chester.curme@gmail.com>
This commit is contained in:
andyzhou1982
2025-03-08 04:21:46 +08:00
committed by GitHub
parent 74e7772a5f
commit 9e863c89d2
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libs/community/langchain_community/graph_vectorstores/__init__.py
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@@ -34,6 +34,7 @@ Example::
- :class:`How to link Documents on hyperlinks in HTML <langchain_community.graph_vectorstores.extractors.html_link_extractor.HtmlLinkExtractor>` - :class:`How to link Documents on hyperlinks in HTML <langchain_community.graph_vectorstores.extractors.html_link_extractor.HtmlLinkExtractor>`
- :class:`How to link Documents on common keywords (using KeyBERT) <langchain_community.graph_vectorstores.extractors.keybert_link_extractor.KeybertLinkExtractor>` - :class:`How to link Documents on common keywords (using KeyBERT) <langchain_community.graph_vectorstores.extractors.keybert_link_extractor.KeybertLinkExtractor>`
- :class:`How to link Documents on common named entities (using GliNER) <langchain_community.graph_vectorstores.extractors.gliner_link_extractor.GLiNERLinkExtractor>` - :class:`How to link Documents on common named entities (using GliNER) <langchain_community.graph_vectorstores.extractors.gliner_link_extractor.GLiNERLinkExtractor>`
- `langchain-jieba: link extraction tailored for Chinese language <https://github.com/cqzyys/langchain-jieba>`_
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