Issues with Custom GenAI Extraction Projects

Mateusz Leszek 26 Reputation points
2024-11-15T12:29:24.0533333+00:00

Since yesterday I am encountering strange issues with Custom GenAI Extraction Projects in Azure AI Studio. One out of 5 projects seems fine but for the other ones:

  • documents that were previously uploaded and labelled, disappeared from the project and I get

DocumentFileNotFound - The requested document file was not found

when entering "Label data" page

  • when I upload new document and auto-label it, when I leave "Label data" page and go back, the document is not there with message error :

"DocumentFileNotFound - The requested document file was not found"

There was no issues with these projects for about two weeks since the creation, other than occasional:

429 Requests to the Labeling - Get document Operation under Azure AI Document Intelligence 2024-07-31-preview have exceeded call rate limit of your current AIServices S0 pricing tier. Please retry after 1 second. Please contact Azure support service if you would like to further increase the default rate limit.

Azure AI Document Intelligence
Azure AI Document Intelligence
An Azure service that turns documents into usable data. Previously known as Azure Form Recognizer.
1,750 questions
Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
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  1. Sina Salam 12,976 Reputation points
    2024-11-15T21:34:16.6166667+00:00

    Hello Mateusz Leszek,

    Welcome to the Microsoft Q&A and thank you for posting your questions here.

    I understand that you are facing Issues with Custom GenAI Extraction Projects.

    To address the "DocumentFileNotFound" issue in Azure AI Studio's Custom GenAI Extraction Projects, first verify the storage account by listing blobs to ensure the documents exist using the command: az storage blob list --account-name <your-storage-account-name> --container-name <your-container-name> --output table.

    Secondly, check project settings to confirm the correct storage configuration and ensure no access keys or paths have changed. If frequent 429 errors occur, temporarily upgrade to a higher pricing tier to mitigate rate limit issues.

    Use Azure Monitor to inspect logs for operation failures during document uploads. If documents disappear after auto-labeling, validate the associated Cognitive Service instance using az cognitiveservices account list --query "[?contains(sku.name, 'AI')]" --output table.

    Since the feature is in preview, unresolved issues may require Azure Support, providing project IDs and error logs for further investigation. Regularly back up labeled documents to prevent data loss.

    For further reading, try to check the Azure CLI documentation and Azure AI Studio troubleshooting guides from these references:

    I hope this is helpful! Do not hesitate to let me know if you have any other questions.


    Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful.

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