About this talk
This talk explores the evolution of AI agents beyond simple prompt-response interactions, focusing on the use of knowledge graphs to enhance reasoning and context integration. The speaker discusses how Aura Agents leverage Neo4j MCP tools to enable querying of graph data directly within the reasoning loop, thereby transforming connected data into an active cognition layer. Attendees will learn practical integration patterns for incorporating graph-native context into agent architectures, aiming to build more reliable and context-aware AI systems that move beyond stateless interactions.
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