Azure OpenAI in Foundry Models
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
Selecting the number of chunks to use as context when doing RAG?
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Bao, Jeremy (Cognizant)
90
Reputation points
When you are using the Python SDK for Azure OpenAI to generate text based on user input and RAG, how do you specify the number of chunks of text to use as context?
I read that it involves some parameter called "topNDocuments," but where does that go? It is not recognized as an argument to client.chat.completions.create().
Azure OpenAI in Foundry Models
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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(214.4, 74%, 30%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EAM%3C/text%3E%3C/svg%3E)
AshokPeddakotla-MSFT 36,021 Reputation points Moderator2024-03-19T05:42:53.81+00:00 Bao, Jeremy (Cognizant) Greetings!
Could share the exact document which you are referring to?
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