# Agentic Reasoning in Practice: Making Sense of Structured and Unstructured Data Canonical URL: https://www.traeai.com/articles/cf5e792a-a267-4ba7-b9a1-cef3b39d76bf Original source: https://www.databricks.com/blog/agentic-reasoning-practice-making-sense-structured-and-unstructured-data Source name: Databricks Content type: article Language: 英文 Score: 8.7 Reading time: 7 分钟 Published: 2026-04-14T15:00:24+00:00 Tags: Agentic AI, Databricks, 多智能体系统, 企业AI, RAG ## Summary Databricks 展示其 Supervisor Agent 如何通过混合结构化与非结构化数据实现企业级多步推理,在 STaRK 和 KARLBench 基准上显著超越现有方法。 ## Key Takeaways - Supervisor Agent 在多个企业级推理任务中比当前最优基线提升 20%+ - 系统支持通过配置而非编码持续优化代理行为和工具集成 - 混合数据推理需结合结构化查询与非结构化语义理解 ## Citation Guidance When citing this item, prefer the canonical traeai article URL for the AI-readable summary and include the original source URL when discussing the underlying source material.