VectorSearchField not found in azure-search-documents

[JJisActive]

• Package Name: azure-search-documents
• Package Version: 11.6.0b12
• Operating System: macOS Sequoia 15.5
• Python Version: Python 3.13 (running in PyCharm CE)

Describe the bug
Upon attempting to import VectorSearchField from azure.search.documents.indexes.models I am presented with an error "Cannot find reference 'VectorSearchField' in 'init.py' ". Other fields like SimpleField and SearchableField can be imported without a problem.
Looking at the Microsoft learn documentation 'VectorSearchField' has API support starting at 11.6.0.

To Reproduce
Steps to reproduce the behavior:

1. Install azure-search-documents version 11.6.0b12 (as of now the most recent version found in PyCharm's python packages)
2. Insert "from azure.search.documents.indexes.models import VectorSearchField" into a blank file
3. Coding editor should display the "Cannot find reference 'VectorSearchField' in 'init.py' " error.

Expected behavior
The expected behavior is to use VectorSearchField similar to SimpleField and SearchableField when creating an index.

My overall goal is to run the whole "Import and vectorize data" process found on Microsoft Azure's webpage in python. Due to VectorSearchField not being available I can not make a "retrievable = true" vectorized index field.

Thank you and have a nice day!

[xiangyan99]

Thanks for reaching out.

We have not shipped 11.6.0 yet.

Could you help to clarify which version has 'VectorSearchField'?

[github-actions]

Hi @JJisActive. Thank you for opening this issue and giving us the opportunity to assist. To help our team better understand your issue and the details of your scenario please provide a response to the question asked above or the information requested above. This will help us more accurately address your issue.

[JJisActive]

Thanks for the response.

I do not believe 'VectorSearchField' has ever been supported in the Python SDK.
While troubleshooting I tried downgrading to 11.4 and still resulted in the same error.

The 'VectorSearchField' in question is below:
https://learn.microsoft.com/en-us/dotnet/api/azure.search.documents.indexes.models.vectorsearchfield?view=azure-dotnet

I am looking at producing the following index field:
{ "name": "text_vector", "type": "Collection(Edm.Single)", "searchable": true, "filterable": false, "retrievable": true, "stored": true, "sortable": false, "facetable": false, "key": false, "dimensions": 1536, "vectorSearchProfile": "vector-through-gui-azureopenai-text-profile", "synonymMaps": [] }

[xiangyan99]

Thanks for the information.

You can take https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/search/azure-search-documents/samples/sample_vector_search.py#L51 as a reference.