AI-powered infrastructure operations often fail not because of weak models, but because AI agents lack semantic context about how infrastructure components relate to each other. A semantic map — a living, machine-readable knowledge graph encoding physical topology, operational context, and configuration relationships — is essential for AI to make informed decisions. NetBox is highlighted as the de facto semantic map for network and infrastructure AI, with its relational data model, MCP server for exposing context to AI agents, and the importance of keeping it current to avoid drift. Teams succeeding with AI invest in rich semantic context rather than chasing more sophisticated LLMs.
Table of contents
The Context Problem in Infrastructure AIWhat Makes Infrastructure Context DifferentThe Semantic Map SolutionBuilding Your Infrastructure Semantic MapSort: