This collection of documents explores the intersection of graph technology, knowledge graphs, and artificial intelligence. Topics include the integration of graph databases with large language models to enhance data management and insights, applications in sectors like healthcare and finance, and innovations in generative AI. Specific challenges of implementing graph technologies, the development of tools like OpenStudyBuilder, and real-world examples showcasing the impact of these technologies on data-driven decision-making are also discussed.