Graph databases are being used by companies to solve complex problems, particularly in the context of knowledge graphs. Traditional keyword-based search methods can be limiting and inflexible, whereas graph technology allows for more precise and meaningful information to be retrieved. A key example is NASA's use of Neo4j to connect data relationships between lessons learned over 50 years of space exploration, resulting in cost savings and improved project outcomes. By utilizing a knowledge graph, companies can improve access to information and provide users with the most relevant search results, leading to increased engagement and satisfaction.