Explore the fundamental differences between vector databases and graph databases in the context of generative AI agents through this 58-minute conference talk. Learn how vector search and graph search technologies operate, understand their distinct capabilities and use cases, and discover strategies for combining both approaches to maximize the accuracy and effectiveness of GenAI applications. Examine practical implementation techniques for GraphRAG (Graph Retrieval-Augmented Generation) and hybrid query systems that leverage the strengths of both database types. Access hands-on notebook examples to experiment with GraphRAG implementations and hybrid search queries using Amazon Neptune, enabling you to apply these concepts in real-world AI agent development scenarios.