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Building AI Agents with Databricks Day1 Lecture

Description

In this session, Eumar walks you through the process of transforming Zachy into a real agent capable of answering questions about code, course syllabus, and employee expenses using tools like Unity catalog functions, Langgraph, and Databricks. He discusses the differences between RAGs and agents, emphasizing how agents can perform multi-step actions and interact with various tools. He also highlights the importance of using the Supervisor Agent for orchestrating multiple tools and shares his excitement about the capabilities of Langgraph for simplifying this process.