Which BI tools' AI can read your warehouse logic?

Quoted from Databricks’s docsA Genie Agent is based on data registered to Unity Catalog, including managed tables, external tables, foreign tables, views, metric views, and materialized views.

Quoted from Snowflake’s docsCurrently, Cortex Agents reads the information captured in the semantic view definition and generates the SQL against the physical tables directly.

Quoted from Omni’s docsOmni imports each Snowflake semantic view as a topic, with the semantic view's field definitions, relationships, and AI instructions.

Quoted from Hex’s docsWith Threads, users can ask natural language questions and get AI-powered insights based on semantic models and warehouse tables, all in a conversational interface.

Quoted from BigQuery’s docsUse knowledge sources such as tables, views, graphs, and UDFs with a data agent.

Quoted from Looker’s docsFor BigQuery and Snowflake connections, the sql_analytic_model_name parameter specifies the name of an existing in-database analytic model (a BigQuery Graph or a semantic view in Snowflake) to use as the basis for a LookML view.

Quoted from Mode’s docsWhen you click the generate button, Mode pulls the currently selected warehouse name, column names & data types for all tables explicitly referenced in your SQL, and sends them and your SQL edits to OpenAI for context.