This video is the fifth class in a week 2 AI Automation Bootcamp. The instructor, Jokotoye Emmanuel, reviews student assignments, highlights excellent work, and then introduces the concept and practical application of RAG (Retrieval-Augmented Generation) agents. He explains the importance of RAG for AI accuracy and reliability, elaborates on vector databases, and walks through the process of building a RAG agent for a real estate company using a workflow automation tool and Pinecone as a vector database. The session encounters debugging challenges, which the instructor addresses live, emphasizing the practicalities of automation.