The vector field 'Vector' must have the property 'dimensions' set

code:
"name": "actionsVector",
"type": "Collection(Edm.Single)",
"searchable": True,
"retrievable": True,
**"dimensions": 3072,**
"vectorSearchProfile": "vector-profile",

service_name = "cobra-video-search-eliz"
admin_key = ""
api_version = "2024-07-01"

index_name = "complexscene_index"

# Create a SearchIndexClient to manage the index
index_client = SearchIndexClient(
endpoint=f"https://{service_name}.search.windows.net",
credential=AzureKeyCredential(admin_key),
api_version=api_version,
)

# Add IDs to documents
for i, doc in enumerate(data):

summary_vector = generate_embedding(doc['summary'])
documents.append({
"@search.action": "mergeOrUpload", #
"id": str(i),
"characters": doc.get("characters", ""),
"summary": doc.get("summary", ""),
"summaryVector": summary_vector,
"chunk_id": f"chunk_{i}"
})

# Upload documents to the index
try:
result = search_client.upload_documents(documents=documents)

error:
Failed to create or update index: (InvalidRequestParameter) The request is invalid. Details: definition : **The vector field 'summaryVector' must have the property 'dimensions' set.**
Code: InvalidRequestParameter
Message: The request is invalid. Details: definition : The vector field 'summaryVector' must have the property 'dimensions' set.
Exception Details: (InvalidField) The vector field 'summaryVector' must have the property 'dimensions' set. Parameters: definition
Code: InvalidField
Message: The vector field 'summaryVector' must have the property 'dimensions' set. Parameters: definition

Start with the index definition that creates the summaryVector field and compare it with the shown actionsVector definition. Confirm the vector field includes its dimensions setting, then rerun index creation to verify that the InvalidField error is gone.

Written by the indexing model from the issue text.