How to fix DeploymentNotFound error?

Question

How to fix DeploymentNotFound error?

Aishwarya Pramod 0

When trying to create a vector index in Azure ML studio using a container in my Azure portal. But during the creation of the vector the embedding job fails stating the following error
RuntimeError: Failed to embed 16 documents after 0s and 9 retries. Error code: 404 - {'error': {'code': 'DeploymentNotFound', 'message': 'The API deployment for this resource does not exist. If you created the deployment within the last 5 minutes, please wait a moment and try again.'}}

error1

santoshkc 15,355 Reputation points Microsoft External Staff Moderator

2024-01-10T04:18:12.6266667+00:00

Hi @Aishwarya Pramod,

Following up to see if the above response was helpful and was just checking back to see if you have a resolution yet. In case if you have any resolution please do share that same with the community as it can be helpful to others.

Thank you!

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santoshkc 15,355 Reputation points Microsoft External Staff Moderator

2024-01-10T04:18:12.6266667+00:00

Hi @Aishwarya Pramod,

Following up to see if the above response was helpful and was just checking back to see if you have a resolution yet. In case if you have any resolution please do share that same with the community as it can be helpful to others.

Thank you!

Answer 1

santoshkc 15,355 Microsoft External Staff Moderator

Hi @Aishwarya Pramod,

Apologize for the delay in response and thank you for reaching out.

Based on your issue, I recommend you to:

Check the logs for any error messages or warnings that might indicate the cause of the failure.
Ensure that the input data is in the correct format and that it is compatible with the embedding algorithm.
If you are giving API Key and API Base, check the correct values.

Please check this documentation: How to create vector index

Thank you for your patience.

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How to fix DeploymentNotFound error?

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