Introduction to RAG Systems

This lesson introduces the concept of a RAC system, explaining its critical role in data retrieval, automated Q&A, and AI voice agents. Using a printing business as an example, the lesson illustrates how businesses can bypass the tedious process of writing thousands of manual answer scenarios. Instead, they can upload a simple PDF containing information like services and prices. The RAC system splits this document, extracts its meaning, and stores it in a vector database. You will learn how AI agents utilize this stored data to retrieve the most accurate answers for client queries 'by meaning' and discover popular tools for building vector databases, such as Superbase, Pinecone, and Quadrant.