title: "From enterprise search to enterprise context: what AI agents actually need"

Enterprise search is evolving beyond simple keyword retrieval into a more comprehensive "enterprise context" layer, which is crucial for effective AI agents and assistants. This new paradigm provides AI with a deep, real-time understanding of a company's knowledge, people, and business operations. Building this context requires robust data connectors, sophisticated indexing, and strict permission enforcement to ensure data security and relevance. Ultimately, this allows AI agents to access and reason over the full scope of an organization's information, often represented through a knowledge graph.