Connect Your Own Data to Azure OpenAI

Azure Open AI is a cutting-edge platform that offers a wealth of possibilities for harnessing the power of artificial intelligence. One of its standout features is the ability to incorporate and analyze your own data. With Azure Open AI, users have the freedom to leverage their own unique datasets, allowing for greater customization and tailored insights.

This capability empowers businesses and individuals to develop AI models that align with their specific needs, driving more accurate predictions and improved decision-making.

For this post, I use gpt-35-turbo model against Blazor for ASP.NET Web Forms Developer book as my own data.

Prepare your lab first

You need to setup the following service:

When you have everything setup and ready, create a container in your storage account and upload your files.

Create a New Deployment

To begin, you simply need to choose a model and provide a name for your deployment in order to create a Deployment Model.

You can read about supported models and their capabilities here.

In this case, we are going to choose gpt-35-turbo. Next, click on ‘Chat’ from the left hand menu and click on ‘+ Add a Data Source’.

Next, select your data source, storage and cognitive search resources. You have the following options for your data source:

  • Azure Cognitive Search

  • Azure Blob Storage

  • Upload Files

Once the setup is done, you can type your queries or ask any questions and enjoy the power of Azure Open AI on the top of your data.

As you can see the image, responses are limited to my own data. Furthermore, if you click on the 'references' for each response, you can gain insight into the process behind its formation.

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