5 docs tagged with "semantic-model"

Assemble, test, and ship the business context every AI agent needs to produce accurate, trustworthy answers.

Describe your use case in Context Engineering Studio, approve the assets CES proposes, and review the semantic model it assembles. The repository references your Atlan assets instead of copying them.

Why Context Engineering Studio holds some metrics back from a deployed engine, where those metrics are still available, and what happens when CES repairs a metric automatically to meet an engine requirement.

Context Engineering Studio (CES) generates the semantic layer AI agents need to answer questions accurately. CES assembles a context repository for one use case from the governed context in your Atlan catalog and glossary, then renders it as a semantic view for Snowflake Cortex Analyst, metric views for Databricks Genie, MetricFlow models for dbt, and context Claude reads over MCP.

A Context Engineering Studio repository holds linked assets that reference your governed Atlan context, and a semantic model that says how those assets answer questions. This page covers both, and how to scope a repository to one use case.