Understanding the RAG Workflow: Simply Explained

About this lesson

Explore the step-by-step process of RAG (Retrieval-Augmented Generation), a powerful method to enhance large language models with custom knowledge bases. This video breaks down how RAG allows us to incorporate enterprise knowledge and private databases, transforming text into vectorized chunks stored in a vector database. Learn how user queries are converted into vectors, retrieved as relevant context, and used to generate precise responses. Perfect for anyone interested in deploying advanced AI systems that leverage unique data to deliver accurate answers.

Original Description