The article discusses how to build a Graph RAG (Retrieval-Augmented Generation) app using knowledge graphs and AI for retrieving and summarizing medical journal articles. By combining vector databases for similarity searches with structured knowledge graphs for context, the app enhances the accuracy of responses from Large Language Models (LLMs). The tutorial emphasizes the importance of domain-specific metadata, showcasing the potential applications across various fields, particularly in medicine.