title: "Indexation de l’IA d’entreprise : pourquoi le contexte compte"

Enterprise AI's effectiveness hinges on providing it with deep contextual understanding, which begins with robust data indexing. A high-quality index grounds generative AI models, leading to improved accuracy, lower latency, and better token efficiency. While basic Retrieval-Augmented Generation (RAG) is a starting point, it often falls short in complex corporate environments. Truly effective systems must build an "enterprise graph" by indexing not just content but also metadata, permissions, and user activity signals to provide comprehensive context.