vector field not setting to retrievable.

[gopesh97]

• Package Name: azure.search.documents
• Package Version: 11.5.2
• Operating System: Windows 11
• Python Version: 3.12.9

Describe the bug
I am creating an index with a vector field, if

1. I am instantiating the field using SearchField and passing retrievable=True, its giving me _retrievable is not a known attribute of class <class 'azure.search.documents.indexes.models.index.SearchField'> and will be ignored .
2. I am instantiating the field using SearchableField and passing retrievable=True, its able to create an index, but when I am uploading the same docs as above, its raising an error saying The request is invalid. Details: An unexpected 'StartArray' node was found when reading from the JSON reader. A 'PrimitiveValue' node was expected.
   Code:
   Message: The request is invalid. Details: An unexpected 'StartArray' node was found when reading from the JSON reader. A 'PrimitiveValue' node was expected.
3. Only thats working currently is that I create the field using SearchField and then manully go to the azure portal, and edit the json to make it retrievable.

To Reproduce
Steps to reproduce the behavior:

1. Set fields and create index like
   `fields =[
   SimpleField(
   name='id',
   type=SearchFieldDataType.String,
   key=True,
   filterable=True,
   ),
   SimpleField(
   name='asset_id',
   type=SearchFieldDataType.String,
   filterable=True,
   facetable=True,
   ),
   SimpleField(
   name='version_id',
   type=SearchFieldDataType.String,
   filterable=True,
   facetable=True,
   ),
   SimpleField(
   name='cdn_download_url',
   type=SearchFieldDataType.String,
   ),
   SimpleField(
   name='fund_id',
   type=SearchFieldDataType.Collection(SearchFieldDataType.String),
   filterable=True,
   facetable=True,
   ),
   SearchableField(
   name='document_type',
   type=SearchFieldDataType.String,
   searchable=True,
   filterable=True
   ),
   SearchableField(
   name='content',
   type=SearchFieldDataType.String,
   searchable=True,
   ),
   SearchField(
   name='content_vector',
   type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
   searchable=True,
   vector_search_dimensions= len(embedding("Text")),
   vector_search_profile_name="myHnswProfile",
   retrievable = True
   ),
   ]

index_name = "langchain_v3_ff_docs_test2"
semantic_configuration_name = index_name+'_semantics'

semantic_configuration = SemanticConfiguration(
name=semantic_configuration_name,
prioritized_fields=SemanticPrioritizedFields(
content_fields=[SemanticField(field_name="content"),],
title_field=SemanticField(field_name="document_type"),
),
)`

Expected behavior
I want to have the vector field retrievable.

[xiangyan99]

Thanks for reaching out.

The latest version is https://pypi.org/project/azure-search-documents/11.6.0b11/ which contains a few bug fixes.

Could you try the latest one and let me know if it works?

[github-actions]

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