AI agents are only as good as the context they can access.
The Grounding Layer presents a practical approach to Context Engineering on Databricks, showing how to build trusted enterprise context from the data foundation through modeling and metadata, semantic layers, Genie Ontology, knowledge and retrieval, and finally AI agents.
This guide is designed for senior engineers, architects and data leaders who want to understand how to build the context foundation required for reliable and useful enterprise AI.
The focus is not just on building AI agents, but on building the grounding layer that makes those agents more relevant, trustworthy and effective.
