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RAG Chat App on Azure AI Foundry
3. Deploy Web App (Chat UI)
Initializing search
nitya/azure-ai-rag-workshop
Introduction
1 Hybrid Workshop
2 Portal First
RAG Chat App on Azure AI Foundry
nitya/azure-ai-rag-workshop
Introduction
1 Hybrid Workshop
1 Hybrid Workshop
1 Overview
1 Overview
1.1 Learning Objectives
1.2 Application Scenario
1.3 Application Data
1.4 RAG Chat Tutorial
2 Setup
2 Setup
2.1 Create AI Project
2.2 Deploy AI Models
2.3 Add Azure AI Search
2.4 Add App Insights
2.5 Setup Local Environment
2.6 Setup Project Structure
2.7 Configure Env Variables
3 Ideate
3 Ideate
3.1 Add Application Data
3.2 Create Search Index
3.3 Retrieve Related Products
3.4 Understand Intent Mapping
3.5 Create Augmented Query
3.6 Design Grounded Prompt
3.7 Test with Observability
4 Evaluate
4 Evaluate
4.1 Create Evaluation Dataset
4.2 Create Evaluation Script
4.3 Configure Evaluation Model
4.4 Run Evaluation Script
4.5 View Results Locally
4.6 View Results In Portal
5 Evolve
5 Evolve
5.1 Recap: Build A Copilot
5.2 Refactor: Make it Better
6 Cleanup
6 Cleanup
2 Portal First
2 Portal First
1 Overview
1 Overview
1.1 Learning Roadmap
1.2 Application Lifecycle
1.3 Azure AI Foundry Portal
2 Setup
2 Setup
01 Model Selection
01 Model Selection
1. Learning Objectives
2. Model Catalog
3. Model Benchmarks
4. Model Card
5. Data, Privacy, & Security
02 Model Exploration
02 Model Exploration
1. Learning Objectives
2. Create an AI project
3. Deploy & Explore Model
4. Use Chat Playground
3 Ideate
3 Ideate
01 Model Customization
01 Model Customization
1. Learning Objectives
2. Connect Azure AI Services
3. Create & Update RBAC
4. Add Grounding Data
5. Test Grounded Chat
02 Model Integration
02 Model Integration
1. Learning Objectives
1. Deploy RAG App (Chat AI)
3. Deploy Web App (Chat UI)
4. Chat With Your Data!
4 Evaluate
4 Evaluate
1. 🚧 | In Development
5 Deploy
5 Deploy
1. 🚧 | In Development
6 Cleanup
6 Cleanup
1. 🚧 | In Development
3. Deploy Web App (Chat UI)
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