Python: Bug: BadRequestError for AzureTextEmbedding with text-embedding-ada-002 model

[amal-sukumaran]

Describe the bug
While using the new VectorStoreField in combination with AzureAISearchCollection for performing hybrid/vector search on an existing index, if i pass the embedding generator as the text-embedding-ada-002 model, then the search is getting a BadRequestError (This model does not support specifying dimensions )

Expected behavior
The search should happen irrespective of the model chosen.

Screenshots
Error Recieved:

Function triggering the error from semantic kernel:

Platform

• Language: Python
• Source: Semantic Kernel version 1.35
• AI model: text-embedding-ada-002 for embeddings
• IDE: VS Code
• OS: Mac

Additional context
The most probable reason is that the specific model doesn't support specifying dimensions. But the _generate_vector_from_values function in vector.py automatically sets the dimension from the data model described