Context Graph

Agent systems relying solely on document retrieval (e.g., RAG) cannot support high-quality decisions; they must incorporate context graphs containing decision traces, causal chains, and precedents to enable explainable, accurate autonomous decisions—Neo4j provides tooling for rapid implementation.

Context graphs extend knowledge graphs by embedding decision rules and policies to make AI agents not just knowledgeable but decision-aware—enabling explainable, context-driven actions beyond language and reasoning.