1. Tutorial: Planning and Developing a Retrieval Augmented Generation (RAG) AI Application

In this tutorial, we will provide a beginner-friendly guide on how to plan and develop a Retrieval Augmented Generation (RAG) AI application. We will break down the jargon, explain specific concepts, and provide examples of the tech stack currently used in the industry.

What is RAG?

Retrieval Augmented Generation (RAG) is an advanced AI technique that combines retrieval and generative approaches to create more powerful, secure, and contextually aware search and virtual assistant experiences 1. It improves upon traditional virtual assistants and search engines by enhancing relevancy and contextual understanding 1. RAG retrieves relevant information from a repository of documents and generates contextually appropriate responses 1.

Planning the RAG AI Application

To plan a RAG AI application, consider the following steps: