Atlan develops context graph for AI agents

The author argues that infrastructure context graphs—continuously synced maps of application resources and typed, evidence-backed relationships—solve the reliability limitations of traditional vector-based RAG for AI agents. By utilizing a simple two-table relational schema and automated per-provider syncs, agents can reliably perform structural queries and blast radius analyses rather than relying on stale runbooks or hallucinated dependencies. Open article →