Azure AI Search is a powerful tool that leverages the capabilities of Azure OpenAI to build custom Retrieval-Augmented Generation (RAG) applications. By combining these resources, organizations can enhance their search experience with more accurate and contextually relevant results. Azure OpenAI provides the ability to understand and generate human-like text, while Azure AI Search service efficiently indexes and queries large datasets.

Organizations can utilize these tools to improve search accuracy by integrating AI-driven insights and enhancing user experience with context-aware search results. This allows businesses to build custom search solutions tailored to their specific needs, driving better decision-making processes. The combination of these services enables the creation of robust RAG applications that deliver superior search capabilities.

In this hands-on lab, you will learn how to build a custom RAG application using Azure AI Search and Azure OpenAI.

Learning objectives

Upon completion of this lab, you will be able to:

• Create indexes and data sources in Azure AI Search
• Implement search queries using Azure AI Search
• Integrate Azure OpenAI with Azure AI Search
• Build a custom RAG application using Azure AI Search and Azure OpenAI

Intended audience

• Candidates for Azure AI Engineer Associate certification
• Cloud Architects
• DevOps Engineers
• Machine Learning Engineers
• Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

• Python
• Azure OpenAI
• Azure AI Search

The following content can be used to fulfill the prerequisites:

• Exploring Azure OpenAI Service
• Azure AI Search