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I checked Azure's documentation on this topic here but I do not see anything related to this. My goal is to create a question and answer dataset for my RAG solution based on each chunk for a good coverage. Maybe there is a way through REST?

How I created the vs:

from openai import AzureOpenAI

client = AzureOpenAI(
    api_key=settings.openai_api_key.get_secret_value(),
    api_version=settings.openai_api_version,
    azure_endpoint=str(settings.openai_endpoint),
)

client.vector_stores.create(name="my_vs")
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  • Have you tried using your own chunking logic (like with langchain) before uploading to the vector store? Commented May 6 at 12:37
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