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Integrate KylinMountain / graphrag-server #6141

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opened 2026-02-21 18:14:15 -05:00 by yindo · 1 comment
yindo commented 2026-02-21 18:14:15 -05:00
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Originally created by @taowang1993 on GitHub (Oct 16, 2024).

Originally assigned to: @Yawen-1010 on GitHub.

Self Checks

  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）
  • Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

graphrag-server is openai-compatible and supports docker.

https://github.com/KylinMountain/graphrag-server

This could be easier to integrate graphrag into dify.

RAG2.0 may look like this:

User Query → Agent → GraphRAG
                     ├→ Vector DB (Milvus) - Retrieves similar passages
                     └→ Knowledge Graph - Retrieves related entities/relationships
                     └→ Combines results → Returns to Agent → Response to User

This issue is not a duplicate, since this actually proposed a potential solution.

2. Additional context or comments

No response

3. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @taowang1993 on GitHub (Oct 16, 2024). Originally assigned to: @Yawen-1010 on GitHub. ### Self Checks - [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [X] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [X] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [X] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. graphrag-server is openai-compatible and supports docker. https://github.com/KylinMountain/graphrag-server This could be easier to integrate graphrag into dify. RAG2.0 may look like this: ``` User Query → Agent → GraphRAG ├→ Vector DB (Milvus) - Retrieves similar passages └→ Knowledge Graph - Retrieves related entities/relationships └→ Combines results → Returns to Agent → Response to User ``` This issue is not a duplicate, since this actually proposed a potential solution. ### 2. Additional context or comments _No response_ ### 3. Can you help us with this feature? - [ ] I am interested in contributing to this feature.
yindo added the 💪 enhancement👻 feat:rag labels 2026-02-21 18:14:15 -05:00
yindo closed this issue 2026-02-21 18:14:15 -05:00
yindo commented 2026-02-21 18:14:15 -05:00
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@dosubot[bot] commented on GitHub (Nov 23, 2024):

Hi, @taowang1993. I'm Dosu, and I'm helping the Dify team manage their backlog. I'm marking this issue as stale.

Issue Summary

  • Proposal to integrate graphrag-server into Dify for enhanced response accuracy.
  • Integration aims to leverage OpenAI compatibility and Docker support.
  • No duplicate issues identified; unique proposal.
  • No further comments or developments since the issue was opened.

Next Steps

  • Is this issue still relevant to the latest version of the Dify repository? If so, please comment to keep the discussion open.
  • If there are no updates, the issue will be automatically closed in 15 days.

Thank you for your understanding and contribution!

@dosubot[bot] commented on GitHub (Nov 23, 2024): Hi, @taowang1993. I'm [Dosu](https://dosu.dev), and I'm helping the Dify team manage their backlog. I'm marking this issue as stale. **Issue Summary** - Proposal to integrate graphrag-server into Dify for enhanced response accuracy. - Integration aims to leverage OpenAI compatibility and Docker support. - No duplicate issues identified; unique proposal. - No further comments or developments since the issue was opened. **Next Steps** - Is this issue still relevant to the latest version of the Dify repository? If so, please comment to keep the discussion open. - If there are no updates, the issue will be automatically closed in 15 days. Thank you for your understanding and contribution!
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Reference: langgenius/dify#6141
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