Zaid Zaim

AI Developer Advocate at Neo4j focused on helping developers apply graph technology to AI systems, including knowledge graphs, memory graphs, context graphs, and agentic GraphRAG. He is also a Microsoft MVP and public speaker who has presented at developer events including Microsoft Build, WeAreDevelopers, and TED-related events.

Context Graphs Give AI Agents Rules, Precedent, and Decision Traces

In a Neo4j talk, Zaid Zaim and Andreas Kollegger argue that AI agents need more than language models, tools, and retrieval if they are to make consequential decisions. Zaim frames context graphs as a way to store the policies, prior decisions, causal links, and reasoning traces behind an action; Kollegger extends that into a five-stage decision workflow in which agents frame the case, check rules and precedent, assess risk, act only within authority, and write the outcome back to the graph as future precedent.

AI EngineerMay 28, 202611 min read