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Is it necessary to upload a file when creating a knowledge ? #5074

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opened 2026-02-21 18:09:15 -05:00 by yindo · 3 comments
yindo commented 2026-02-21 18:09:15 -05:00
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Originally created by @wwuddan123 on GitHub (Aug 16, 2024).

Originally assigned to: @crazywoola on GitHub.

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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.

When I want to create knowledge, I must upload a local file first.
But, I just want to batch add chunks by local CSV file. So I hava to upload an empty file first.
Can I skip the first upload step?
Because my product environment is K8S and docker, which do not allow for persistent file mapping.
Therefore, once I redeploy the container, the previously uploaded files will be lost. the knowledge will be disabled.
By the way, the workflows are not lost because they are save in database.

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 @wwuddan123 on GitHub (Aug 16, 2024). Originally assigned to: @crazywoola 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. When I want to create knowledge, I must upload a local file first. But, I just want to batch add chunks by local CSV file. So I hava to upload an empty file first. Can I skip the first upload step? Because my product environment is K8S and docker, which do not allow for persistent file mapping. Therefore, once I redeploy the container, the previously uploaded files will be lost. the knowledge will be disabled. By the way, the workflows are not lost because they are save in database. ### 2. Additional context or comments _No response_ ### 3. Can you help us with this feature? - [X] I am interested in contributing to this feature.
yindo added the 💪 enhancement label 2026-02-21 18:09:15 -05:00
yindo closed this issue 2026-02-21 18:09:15 -05:00
yindo commented 2026-02-21 18:09:16 -05:00
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@crazywoola commented on GitHub (Aug 16, 2024):

Actually you can create an empty dataset by API which contains nothing.

@crazywoola commented on GitHub (Aug 16, 2024): Actually you can create an empty dataset by API which contains nothing.
yindo commented 2026-02-21 18:09:16 -05:00
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@wwuddan123 commented on GitHub (Aug 16, 2024):

Actually you can create an empty dataset by API which contains nothing.

thanks.

Sure, but you said creating an emtpy dataset , not document. I want to create an empty document without a file.
With a document ID, I can proceed to batch create segments.

@wwuddan123 commented on GitHub (Aug 16, 2024): > Actually you can create an empty dataset by API which contains nothing. thanks. Sure, but you said creating an emtpy dataset , not document. I want to create an empty document without a file. With a document ID, I can proceed to batch create segments.
yindo commented 2026-02-21 18:09:16 -05:00
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@wwuddan123 commented on GitHub (Aug 16, 2024):

Actually you can create an empty dataset by API which contains nothing.

Could you develop a button to implement this API on web please?
API: /datasets/{dataset_id}/document/create_by_text

image

@wwuddan123 commented on GitHub (Aug 16, 2024): > Actually you can create an empty dataset by API which contains nothing. Could you develop a button to implement this API on web please? API: /datasets/{dataset_id}/document/create_by_text ![image](https://github.com/user-attachments/assets/19a01a34-3c22-4c63-9f4c-ce5aa39e7860)
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Reference: langgenius/dify#5074
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