title: "Context Graphs: Powering Enterprise AI Agents"

Context graphs are a foundational component for powering enterprise AI agents by providing them with relevant, up-to-date information. These graphs are constructed using several key components, including connectors to various data sources, a central knowledge graph of company information, and a personal graph detailing individual user contexts. The system is further enhanced by analyzing anonymized user interaction traces and incorporating feedback loops from the AI agents themselves. This architecture ensures that AI agents can operate with a deep, permission-aware understanding of the company's unique environment, grounding their responses and actions in verified data.