This GitHub repo is for code samples of Microsoft Azure-AI Search(Cognitive) & Azure OpenAI services. It demonstrates how to develop Retrieval Augmented Generation(RAG) based chat-bot by consuming Azure-AI services like OpenAI and Azure-Search(Cognitive). You can refer to code folder of your choice of programming language - Java, Python(TBD) or Dot Net(TBD). Please feel free to reach out to me if you find any bugs or have suggestions for improvement. I strongly recommend to read this documentation before you dive into the code. Happy Azure-AI programming.
First thing first, request for Azure Open-AI service access. Don't worry, initially I had a doubt if my request will be approved? however my request got approved in 24 hours.
Request Access to Azure OpenAI Service
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In your Azure Portal account search for Azure OpenAI and then select "Azure OpenAI" service.
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After following step#1 you will see below page. Select "Create Azure OpenAI" button and follow remaining steps.
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Once you created Azure OpenAI service you go to your Azure OpenAI service resource and then select "Go to Azure OpenAI Studio" link.
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Following above link you should bring you to this beautiful page.
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Now select "Deployments" option from left-menu and that should bring to this page.
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Now create deployments by selecting "Create new Deployment" button. If you notice in below image, I created two deployments. First deployment for text-embeddings using OpenAI "text-embedding-ada-002" model and second deployment for chat/chat-completion using "gpt-35-turbo" model.
Assuming by this time you have your Azure-AI services setup complete and you created model deployments in Azure-OpenAI, lets deep-dive into the code. Please refer to code folder of programming language of your choice above or you can use below link.