📄 中文摘要
构建 AI 代理时，实时的情境意识至关重要。AI 代理需要了解用户当前的操作环境，例如用户正在编辑的文件、出现的错误、即将开始的会议等信息。为了实现这一目标，传统的解决方案通常依赖于向量数据库和嵌入 API，但这些方法可能无法满足实时上下文的需求。通过关注用户当前的应用程序状态和相关信息，可以更有效地提供个性化的建议和支持，从而提升用户体验。
无需向量数据库构建 AI 代理的实时上下文
出处: Building Real-Time Context for AI Agents Without a Vector Database
发布: 2026年3月6日
📄 English Summary
Building Real-Time Context for AI Agents Without a Vector Database
Building AI agents requires real-time situational awareness to effectively respond to user queries. The agent must understand the current context, such as the application the user is working in, any errors occurring, and upcoming events. Traditional solutions often rely on vector databases and embedding APIs, which may not adequately provide the necessary real-time context. By focusing on the user's current application state and relevant information, AI agents can offer more personalized suggestions and support, ultimately enhancing the user experience.