Context Engineering With Neo4j’s GraphRag: Why AI Systems Need More Than Data
Everystrong AI application starts with data, but the most useful systemsincreasingly depend on something more: the relationships, history, and contextsurrounding that data. That’s becoming especially important as developers build agentic AI systems. Ratherthan treating context as a single prompt or one-time retrieval step, these systems can continuously assemble and update context