This podcast episode delves into the intricacies of deploying GenAI applications using Neo4j, guiding listeners through the progression from proof of concept to production-ready solutions. The discussion emphasizes the critical role of knowledge graphs in enhancing application performance, the technical challenges associated with transitioning from Jupyter Notebooks to robust architectures, and the importance of logging for compliance and analysis. By exploring practical strategies for data modeling, cloud infrastructure, and user experience design, the episode offers insightful advice for developers aiming to leverage AI technologies effectively while adhering to emerging regulations.
