Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
This talk introduces context graphs as a method to enhance AI agents' decision-making capabilities. By integrating knowledge graphs with AI agents, the goal is to move beyond simple knowledge provision to enabling agents to understand and act upon rules and policies, thereby making more informed decisions. This approach aims to fill the gap in AI agents' reasoning by providing them with the necessary context and decision-making frameworks.
Europe 2026 17 min