What It's About
Building reliable AI agents on Databricks requires more than pipelines and models — it demands a semantic foundation that encodes business meaning and context. In this webinar, we’ll show how to implement an ontology-powered semantic layer that integrates with Delta Lake and Unity Catalog to ground LLM-based agents. We’ll walk through patterns for evaluating agent performance against natural language queries across use cases like supply chain, drug discovery and compliance.
Meet our Speaker
What We'll Cover:
- Beyond Traditional RAG: How to bootstrap ontologies and enable real-time semantic queries to give your agents deep business context.
- Performance Evaluation: Proven patterns for testing and evaluating agent performance against complex, natural language queries across diverse use cases.
- The Production Architecture: A practical blueprint for deploying explainable, production-ready agentic AI directly on Databricks.