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The article describes using Databricks Genie to query MLflow agent traces with natural language, enabling non-SQL users to analyze agent performance metrics like latency and errors.
Discusses the evolution from text-to-SQL to autonomous data agents, comparing custom-built agents using LangGraph with managed platforms like Snowflake Cortex Analyst, Databricks Genie, and PowerBI Copilot.
A pattern for giving AI agents reliable access to data warehouses by using a curated semantic layer (Databricks Genie) instead of raw text-to-SQL, improving accuracy and governance. The agent calls Genie's Conversation API as a tool, receiving both natural-language responses and exact SQL.