给 Agent 接搜索功能，有哪些「坑」需要特别注意？

Core Insights - The integration of search capabilities into AI products is becoming a standard feature, but the approach differs significantly from traditional human-centric search systems [2][3] - The complexity of AI search involves breaking down a single complex query into multiple sub-queries, leading to iterative searches by the AI agent [2] - The quality of information retrieval is crucial for the reasoning ability and task completion of AI agents, raising questions about precision, real-time results, and the balance between search depth and cost [3][6] Challenges in AI Search Integration - There are specific challenges in creating a reliable and efficient search system for AI agents, including the need to address potential pitfalls during integration [6] - The distinction between "AI search" and "search for AI" is significant, highlighting the unique requirements of AI-driven search systems compared to traditional search engines [6][8] Event Information - An online closed-door discussion is scheduled for October 30 at 20:00, focusing on the integration of search capabilities into AI agents, with limited free slots available for registration [4][7]