14 docs tagged with "context-engineering-studio"

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.

Deploy a context repository in Context Engineering Studio to Databricks Genie. CES pushes descriptions into Unity Catalog, creates one Metric View per table, and configures a Genie Space.

Deploy a context repository from Context Engineering Studio to Snowflake Cortex Analyst as a Semantic View, then grant access to your business users and verify the view in Snowflake.

Enable Context Engineering Studio on your Atlan tenant in Atlan Labs, assign access to your team by enabling the CES flag on a persona, and optionally run column profiling for sample values.

Grant the Unity Catalog and workspace permissions Context Engineering Studio needs to deploy a context repository to Databricks Genie. Required at deploy time. You can build the repository without them.

Grant the Snowflake permissions Context Engineering Studio needs to deploy a context repository to Snowflake Cortex Analyst. Required only at deploy time. You can connect and build without 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.

The engines and agents a Context Engineering Studio repository serves: which deploy directly, which render a format for you to take away, and which read it over MCP.

Find troubleshooting guides for Context Engineering Studio organized by query engine. Covers Snowflake Cortex Analyst setup, Databricks Genie deployment, OAuth, Unity Catalog, Cortex preflight checks, and chat errors.

Resolve common Databricks errors in Context Engineering Studio, including OAuth token failures, Genie Space creation issues, Unity Catalog access errors, Metric View YAML validation, SQL warehouse problems, and chat errors.

Resolve common Snowflake errors in Context Engineering Studio, including preflight check failures, generation errors, YAML validation issues, Cortex Analyst deployment failures, JWT authentication, and chat errors.

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.