技巧精选

构建AI Agent的文档上下文层:从检索到工作流

Building the Document Context Layer for AI Agents AI Agents are the new knowledge workers, but the ...

精选理由

Jerry Liu讲透了Agent怎么处理非结构化文档,从OCR到检索到未来工作流,全是干活,搞Agent的同学必看。

AI 摘要

Jerry Liu在AI Engineer World Fair上演讲,探讨如何为AI Agent构建文档上下文层。他分析从2023到2026年代理检索方式的演变,强调文档OCR仍是解锁上下文的关键难题。他提出代理需要提取、搜索等配套工具,并展望标准化代理原生文档格式与专业工作流。内容涵盖基于Agent的RAG优化、智能体工具集成等具体技术路径。

原文 · Jerry Liu

Building the Document Context Layer for AI Agents AI Agents are the new knowledge workers, but the ...

Building the Document Context Layer for AI Agents AI Agents are the new knowledge workers, but the vast majority of knowledge work depends on unstructured documents. If you don’t build the proper tools to help unlock that context, agents can’t do much. I gave a comprehensive talk at the @aiDotEngineer World Fair last week on what it means to build a proper “document context layer” for generalized agent harnesses. This touches on the following: ✅ How agent retrieval has changed from 2023-2026 ✅ Why document OCR is still a hard but important problem to unlock context ✅ Why agents also need surrounding tools like extraction and search ✅ What’s still to come, from a standardized agent-native document format to specialized workflows that distill frontier intelligence, that can still be plugged in as tools. Check it out: figma.com/deck/MQyWRRhjV… 💬 8 🔄 7 ❤️ 41 👀 3261 📊 22 ⚡