TLDR -- We currently do not automatically load stored procedures as context for in context learning/prompting but it is on the roadmap.

Additional color: Once you configure a connection to a DB, you can trigger a 'scan' of the DB through the API which detects various tables/columns, identifies low cardinality (categorical) columns and their values and also loads in VIEWS stored on tables. In our default NL2SQL agent, these are then used together with 'verified' NL2SQL pairs and with other metadata you can manually add to generate the SQL.

We are looking to automatically add context from Stored procedures and other sources like dbt and various data dictionaries as well.