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Guide to implementing Retrieval-Augmented Generation (RAG) with Azure AI and Azure OpenAI. Includes scripts and steps for setting up a scalable architecture using Azure services. Ideal for developers and data scientists integrating advanced AI solutions.

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azure_rag

Guide to implementing Retrieval-Augmented Generation (RAG) with Azure AI and Azure OpenAI. Includes scripts and steps for setting up a scalable architecture using Azure services. Ideal for developers and data scientists integrating advanced AI solutions.

1- Add the necessary parameters.env 2- Go to your AI service and create two kind of models: https://ai.azure.com/ - embedded model (text-embedding-ada-002) - chat model (gpt-4o) 3- Create a project in AI Foundry including a hub 4 Create an Azure AI search

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Guide to implementing Retrieval-Augmented Generation (RAG) with Azure AI and Azure OpenAI. Includes scripts and steps for setting up a scalable architecture using Azure services. Ideal for developers and data scientists integrating advanced AI solutions.

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