Agentic Reasoning in Practice: Making Sense of Structured and Unstructured Data

Databricks' Supervisor Agent demonstrates 20%+ improvements over state-of-the-art RAG agents on multiple benchmarks including STaRK and KARLBench. The agent excels at multi-step reasoning across structured and unstructured data—achieving +21% on academic retrieval, +38% on biomedical reasoning, and +23% on financial analysis tasks. Performance gains are largest on tasks requiring exhaustive analysis or self-correction, showcasing the agentic advantage over single-turn retrieval approaches.