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Build A Production RAG with Azure AI and Prompt Flow
2 | GitHub Action Deploy
Initializing search
Build A Production RAG with Azure AI and Prompt Flow
Let's Build Contoso Chat
01 | Introduction
01 | Introduction
01 | The Paradigm Shift
02 | The App Scenario
03 | The Dev Environment
02 | Workshop
02 | Workshop
01 | Lab Overview
01 | Lab Overview
1.1 | What You'll Learn
02 | Setup Dev Environment
02 | Setup Dev Environment
2.1 | Get Started
2.2 | Launch Codespaces
03 | Provision Azure
03 | Provision Azure
3.1 | Azure AI Resource
04. Create Azure AI Project
05. Create Model Deployments
06. Create AI Search Resource
07. Create CosmosDB Resource
04 | Configure VS Code
04 | Configure VS Code
08. VSCode Azure Login
09. VSCode Config Azure
10. VSCode Config Env
05 | Setup Promptflow
05 | Setup Promptflow
11. VSCode Populate Search
12. VSCode Populate Database
13. VSCode Config Connections
14. Azure Config Connections
06 | Run & Evaluate Flow
06 | Run & Evaluate Flow
15. PromptFlow: Codebase
16. PromptFlow: Visual Editor
17. PromptFlow: Run
18. PromptFlow: Evaluate
07 | Deploy & Use Flow
07 | Deploy & Use Flow
19. PromptFlow: Deploy
Lab Recap
08 | Bonus Exercises
08 | Bonus Exercises
1 | Contoso Website Chat
2 | GitHub Action Deploy
3 | Intent-Based Routing
4 | Content Filtering
09 | Troubleshooting
09 | Troubleshooting
1 | Debug Issues
03 | Concepts
03 | Concepts
01 | The RAG Pattern
02 | The Evaluation Metrics
04 | Tooling
04 | Tooling
01 | Dev Containers
02 | Visual Studio Code
03 | Prompt Flow
04 | Azure AI Studio
2 | GitHub Action Deploy