Welcome to the AI Workshop 👋

Building a Retrieval-Augmented Generation (RAG) On PDF With Text And Embedded Images, With Citations Referencing Image Answering User Query

In this self-paced workshop, you will explore key Azure services to build an application with Retrieval-Augmented Generation (RAG) capabilities. The solution will enable you to work with PDF documents containing text and embedded images, providing responses to user queries with proper citations referencing images.

Workshop Details:

• Skillset Level: 200+
• Audience: Architects and Engineers
• Duration: ~3 hours

What You Will Learn:

Throughout this workshop, you will gain hands-on experience with Azure services to:

1. Extract and process text and images from PDF documents.
2. Implement a Retrieval-Augmented Generation (RAG) solution to enhance query responses.
3. Provide citations for images and text in the responses to user queries.

Navigating the Labs:

As you progress through the labs, you’ll come across Get help! expandable sections like the one shown below. These sections provide additional guidance to help you complete each step.

• Pro Tip: Try to solve the steps independently as much as possible—this will help you develop problem-solving skills and deepen your understanding.
• However, if you’re stuck or unable to make progress, feel free to click on the Get help! sections for assistance.

Go ahead and try it out by clicking on one of these expandable sections!

Workshop content

• Workshop Overview
• Prerequisites
• Document Data Management
  1. Overview
  2. Azure Open AI
  3. Azure AI Search
  4. PDF Document Processing
  5. Populating Azure AI Index
• Application Runtime
  1. Overview
  2. Setting Up Demo App
  3. Extending With Your Own PDF
• Chat Histroy
  1. Overview
• Azure Resource Clean Up

Workshop Overview »