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