Generic Metadata on Embedded Data #9168

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opened 2026-02-21 18:31:27 -05:00 by yindo · 0 comments
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Originally created by @benjamin-mogensen on GitHub (Mar 4, 2025).

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  • 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.

The solution must support the ability to add custom metadata when embedding knowledge into the vector database via Dify or its APIs.

  • Currently, there is no way to attach metadata to embedded data, limiting search, filtering, and contextualization capabilities.
  • Similar to other vector databases like Redis and Weaviate, we require the ability to add custom metadata fields, such as categories, document types, or other relevant tags.
  • This metadata should be queryable and retrievable to enhance search and retrieval functionality.

2. Additional context or comments

@crazywoola @guchenhe

3. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @benjamin-mogensen on GitHub (Mar 4, 2025). ### 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. The solution must support the ability to add custom metadata when embedding knowledge into the vector database via Dify or its APIs. - Currently, there is no way to attach metadata to embedded data, limiting search, filtering, and contextualization capabilities. - Similar to other vector databases like Redis and Weaviate, we require the ability to add custom metadata fields, such as categories, document types, or other relevant tags. - This metadata should be queryable and retrievable to enhance search and retrieval functionality. ### 2. Additional context or comments @crazywoola @guchenhe ### 3. Can you help us with this feature? - [ ] I am interested in contributing to this feature.
yindo added the 👻 feat:rag label 2026-02-21 18:31:27 -05:00
yindo closed this issue 2026-02-21 18:31:27 -05:00
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Reference: langgenius/dify#9168