Module 6: Retrieval Augmented Generation (RAG)

Learn how Retrieval Augmented Generation (RAG) combines Large Language Models with external knowledge sources to deliver more accurate and up-to-date responses. Students will build AI systems capable of retrieving information from documents, databases, and enterprise knowledge repositories before generating answers. Topics include document chunking, embeddings, vector search, context retrieval, prompt enhancement, and response generation. This module is essential for developing enterprise-grade AI assistants and knowledge management systems.