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Fail to add data to vector DB #1683

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opened 2026-02-21 17:36:38 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 17:36:38 -05:00
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Originally created by @gijigae on GitHub (Mar 31, 2024).

Originally assigned to: @takatost, @JohnJyong 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).
  • Pleas do not modify this template :) and fill in all the required fields.

Dify version

0.5.11

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

  1. VectorDB: Weaviate
  2. Embedding model: OpenAI's text-embedding-3-large
  3. Rerank model: Cohere's rerank-multilingual-v2.0
  4. Storage: azure-blob
  5. ETL Type: unstructured
  6. Upload CSV file
  7. Select hybrid search
  8. Run embedding

✔️ Expected Behavior

Data should be added to the vector DB. The same process can add data to the vector DB in Dify version 0.5.10. Here is one csv file that resulted in failure.
data-for-child-care.csv

❌ Actual Behavior

The process failed with the following error.

image

Create class! Unexpected status code: 422, with response body: {'error': ['message': 'class name "Vector_index_97e25f44_1b91_4611_ 956d_69320b179dcf_Node" already exists'}]}

It fails at random location; sometimes fails at 76% and other times at 97%. Maybe something to do with #3016 ?

image

Originally created by @gijigae on GitHub (Mar 31, 2024). Originally assigned to: @takatost, @JohnJyong 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] Pleas do not modify this template :) and fill in all the required fields. ### Dify version 0.5.11 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce 1. VectorDB: Weaviate 2. Embedding model: OpenAI's `text-embedding-3-large` 3. Rerank model: Cohere's `rerank-multilingual-v2.0` 4. Storage: azure-blob 5. ETL Type: unstructured 6. Upload CSV file 7. Select hybrid search 8. Run embedding ### ✔️ Expected Behavior Data should be added to the vector DB. The same process can add data to the vector DB in Dify version 0.5.10. Here is one csv file that resulted in failure. [data-for-child-care.csv](https://github.com/langgenius/dify/files/14814413/data-for-child-care.csv) ### ❌ Actual Behavior The process failed with the following error. ![image](https://github.com/langgenius/dify/assets/81459/6dc3f6a9-591d-4d0e-ae25-52312dcd1eb2) `Create class! Unexpected status code: 422, with response body: {'error': ['message': 'class name "Vector_index_97e25f44_1b91_4611_ 956d_69320b179dcf_Node" already exists'}]}` It fails at random location; sometimes fails at 76% and other times at 97%. Maybe something to do with #3016 ? ![image](https://github.com/langgenius/dify/assets/81459/e40b214c-b313-4b4c-a300-2877825df65d)
yindo added the 🐞 bug label 2026-02-21 17:36:38 -05:00
yindo closed this issue 2026-02-21 17:36:38 -05:00
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Reference: langgenius/dify#1683
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