Getting Started with Azure AI + RAG Table of Contents Introduction Understanding RAG 1.1 How RAG Works 1.2 Benefits of RAG with Azure AI Setting Up Azure Resources 2.1 Prerequisites 2.2 Required Azure Services 2.3 Setting Up with Azure Portal Processing PDFs with Azure AI 3.1 Key Features for PDF Processing 3.2 Document Processing Workflow Implementing RAG in Python 4.1 Step 1: Install Required Libraries 4.2 Step 2: Extract Text from PDF 4.3 Step 3: Chunk the Text 4.4 Step 4: Generate Embeddings 4.5 Step 5: Index in Azure AI Search 4.6 Step 6: Retrieve Relevant Information 4.7 Step 7: Generate RAG Response Implementing RAG in JavaScript 5.1 Step 1: Install Required Packages 5.2 Step 2: Extract Text from PDF 5.3 Step 3: Chunk the Text 5.4 Step 4: Generate Embeddings 5.5 Step 5: Index in Azure AI Search 5.6 Step 6: Retrieve Relevant Information 5.7 Step 7: Generate RAG Response Best Practices and Optimization 6.1 Performance Optimization 6.2 Accuracy Improvements 6.3 Cost Management Troubleshooting 7.1 Common Issues and Solutions Code References 8.1 Complete Python Implementation 8.2 Complete JavaScript Implementation