An all-purpose AI Function: it calls a Model Serving endpoint you already have from PySpark or SQL, handling batch and real-time inference, and interprets what comes back.
Read more: Databricks docs
In the Ultra Transcenders books
Each book explains ai_query in context, with comparison tables and the common traps.
Terms in this definition
- FUNCTION
Registered models count as functions in Unity Catalog, so this securable type governs them too: access is given through
GRANT ... ON FUNCTION, and REST calls passFUNCTIONassecurable_type. - Model Serving
A Databricks service for deploying, governing and querying AI models, in real time or in batches. Each served model becomes a REST API on serverless compute, and custom agents hosted there now carry a legacy label.
- Serverless
Compute tier for single Azure SQL databases that scales automatically, pauses when idle and charges by the second. It is offered in General Purpose and Hyperscale, not Business Critical, and reserved capacity does not apply.
- Inference
The act of producing a response with a trained model. Each request neither retrains the deployed model nor makes it look up stored training documents.