Reply: Scaling Context Graphs: From architecture to real-world impact

Addressed a real knowledge-transfer risk from a mandated supplier/provider rotation, where operational understanding was siloed in a few people and documentation had drifted out of date. Moved beyond plain embeddings/RAG (which located docs but not relationships) to a Neo4j graph connecting systems, processes, alerts, and schedules. Measured results: 30–40% reduction in triage time, ~3,000 tokens per agent query.