Fill vector store with CURL command does not work

[HendrikD2005]

Hey everyone! 🙂
Very simple use case - I want to fill the vector memory of my project in Azure AI Foundry via a CURL command. I use the way described in the documentation: https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/file-search-upload-files?pivots=rest

Uploading the file, which apparently has to be done before adding the file to the vector store, works fine. But adding the same file to the vector store does not work - the command, the variables you see below are unchanged and work for the CURL command that first uploads the file.

This is the command:
curl --request POST \ --url "$AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/vector_stores/vs_v383i2msmd8939d/files?api-version=2025-05-01" \ -H "Authorization: Bearer $ACCESS_TOKEN" \ -H "Content-Type: application/json" \ -d "{"file_id": "$FILE_ID"}"

The error message I get is:
"error": {
"message": "No vector store found with id 'vs_v383i2msmd8939d'.",
"type": "invalid_request_error",
"param": null,
"code": null
}
The vector store is definitely available and I could also upload this file manually, but I would like to do this automatically via a CI/CD pipeline, where this CURL command is then executed.

Does anyone know more about this and could help me? I would be very grateful!

[HendrikD2005]

Question answered:
https://stackoverflow.com/questions/79688777/fill-vector-store-with-curl-does-not-work?noredirect=1#comment140561817_79688777

Solution found - it took some time until the created vector stores actually appeared in the Azure AI Foundry Portal. I opened several tabs and reloaded them with CTRL+F5 - one tab contained the vector stores and the uploaded files, while other tabs did not. Seems like there are some synchronisation errors or something. Just reload the page more often, clear the cache, wait and see. 🤷‍♂️

[HendrikD2005]

Troubleshooting the “No vector store found” Error

Double-check the Vector Store ID
Ensure that the ID of the vector store is correct and matches exactly what was returned when the vector store was created.
If you created the vector store programmatically, you can retrieve its ID using the GET vector store API.

Confirm the Vector Store Status
The vector store must be in a "ready" or "completed" state before you can add files to it.
Use this endpoint to check its status:
curl --request GET \ --url "$AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/vector_stores/<vector_store_id>?api-version=$API_VERSION" \ -H "Authorization: Bearer $ACCESS_TOKEN"

Check API Version Compatibility

Validate Authorization Scope
Make sure your $ACCESS_TOKEN has the correct scopes and roles (e.g., Cognitive Services OpenAI Contributor).
If you're using a service principal or managed identity, verify its role assignments in Azure IAM.

[nitya]

@HendrikD2005 appreciated your providing the response (with link) and closing this out!