title: "Graphes de contexte : alimenter les agents IA d’entreprise"

Context graphs are essential for powering enterprise AI agents by providing them with relevant information. These graphs are constructed by integrating several components, including connectors to various data sources, a central knowledge graph, and personal graphs that map individual user context. The system is further refined using anonymized traces of user interactions and direct feedback loops from the AI agents. This comprehensive structure allows agents to deliver personalized, accurate, and secure responses within a corporate environment.