NVIDIA 分享 KDD Cup 数据分析智能体构建经验
原标题：Building Reliable Data Analytics Agents: Lessons from the KDD Cup
AI 摘要
NVIDIA KGMON 团队在 KDD Cup 2026 Data Agents 竞赛中获得第二名，其系统核心思路是让智能体的 harness 更小、更清晰、更易验证。面对数据库、CSV、JSON、文档、PDF 和视频等异构数据源，团队通过统一 SQL 接口、约束工具集、持久化状态和可检查的执行轨迹来提升可靠性。文章强调，在固定的小型 LLM 上，可靠性更多来自合理的 harness 设计而非让模型更开放。
正文节选
The NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple idea of making an agent’s harness smaller, clearer, and easier to verify. The competition asked agents to answer natural-language questions over heterogeneous data sources, including databases, CSV and JSON files, prose documents, PDFs, and briefing videos. Every task required more than retrieval, with the agent inspecting available data, choosing the right tools, reasoning across