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Hope that Dify will add database functionality. #2681

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opened 2026-02-21 17:48:44 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 17:48:44 -05:00
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Originally created by @xiaoxuan220 on GitHub (Apr 26, 2024).

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).
  • Pleas do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing?

Translate the user's natural language input into structured content using an LLM for persistent storage.

2. Describe the feature you'd like to see

Translate the user's natural language input into structured content using a LLM and store it in a database as information external to the large model, rather than using RAG. Similar to the database functionality in Coze.

3. How will this feature improve your workflow or experience?

This feature significantly reduces the number of tokens used in interactions with the large model compared to RAG, and it offers stronger reliability. I hope the officials can guide whether this has been implemented or consider whether it will be implemented in the future.

4. Additional context or comments

No response

5. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @xiaoxuan220 on GitHub (Apr 26, 2024). ### 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] Pleas do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Translate the user's natural language input into structured content using an LLM for persistent storage. ### 2. Describe the feature you'd like to see Translate the user's natural language input into structured content using a LLM and store it in a database as information external to the large model, rather than using RAG. Similar to the database functionality in Coze. ### 3. How will this feature improve your workflow or experience? This feature significantly reduces the number of tokens used in interactions with the large model compared to RAG, and it offers stronger reliability. I hope the officials can guide whether this has been implemented or consider whether it will be implemented in the future. ### 4. Additional context or comments _No response_ ### 5. Can you help us with this feature? - [ ] I am interested in contributing to this feature.
yindo added the 💪 enhancement label 2026-02-21 17:48:44 -05:00
yindo closed this issue 2026-02-21 17:48:44 -05:00
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Reference: langgenius/dify#2681
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