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Exercise 02 - Building LLMs Orchestration Flows

Scenario

In this exercise, the focus will be on creating and associating a conversational Retrieval-Augmented Generation (RAG) flow with your already created model(s). This is particularly important for Lamna Healthcare Company, as it aims to enhance the performance and relevance of their 24/7 support virtual agent.

By the end of this exercise, Lamna’s team will have a functional RAG flow integrated with their GPT-4 model, setting a strong foundation for further enhancements and refinements in subsequent lessons.

Objectives

After you complete this exercise, you will be able to:

  • Set up VSCode in Azure AI Foundry
  • Load the Vector Index
  • Modify the prompt
  • Test the prompt
  • Test the flow
  • Debug the flow

Lab Duration

  • Estimated Time: 75 minutes

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