This podcast explores how Neo4j and graph technology are powering the next generation of AI applications by giving intelligent systems richer context and an understanding of relationships between data. It discusses knowledge graphs, graph retrieval, AI agents, semantic search, and how connected data can improve the accuracy, relevance, and explainability of AI systems. Perfect for AI engineers, data scientists, developers, technology leaders, and anyone interested in the intersection of graph databases and artificial intelligence.