Graph databases like Neo4j help us solve complex real-world problems by storing data and connections between them, allowing us to interrogate the data to see underlying context and relationships that get missed in other data formats. In medicine, graph technology is used to bring together varying data stores into a meaningful map for cancer research, managing massive family trees of plants to increase food sources and decrease natural resource consumption, and connecting disparate data to identify and track space debris for future space travel and cleanup. These projects showcase the power of graph databases in tackling complex problems such as understanding biological data, feeding the world's growing population, and promoting safety and efficiency in research and exploration.