从企业搜索到企业上下文：AI 智能体真正需要什么
而这一上下文层，恰恰是当前大多数企业级AI评估中最易被忽视的一环。团队往往聚焦于模型质量、上下文窗口大小及连接器数量等指标的比对——这些固然重要，但一旦AI的应用场景从回答单次提问，转向辅助研究、决策、起草与执行等复杂任务，真正的难点便在于上下文质量：即系统能否在每一项工作流的每一步中，均基于当前、相关且具备权限感知能力的企业知识进行事实锚定。
原始摘录
That context layer is the piece most enterprise AI evaluations still overlook. Teams compare model quality, context window sizes, and connector counts. All of these are important, but once AI moves from answering one-off questions to helping with research, decisions, drafting, and execution, the harder problem is context quality — whether the system can ground every step of every workflow in current, relevant, permissions-aware enterprise knowledge.