Description

Retrieval-Augmented Generation (RAG) is a groundbreaking AI paradigm that enhances generative models by integrating information retrieval techniques. This course provides a comprehensive understanding of RAG, covering its architecture, implementation, applications, and advancements. Participants will explore how RAG improves contextual accuracy, enables real-time information retrieval, and handles complex queries across various domains.