Navigating Graph Database Adoption

This chapter explores the challenges organizations encounter in transitioning from traditional relational databases to graph databases, particularly focusing on new query languages like GQL and Cypher. It highlights the role of large language models in facilitating this transition and emphasizes the importance of query optimization and machine learning in enhancing database performance. The discussion also covers the intuitive nature of graph data and the advantages of specialized query languages for expressing complex relationships.