AI Functions
Recent items mentioning AI Functions across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
NewsMay 2026 Databricks Updates: No Code ETL, New GPUs and Death of the Dashboard
Databricks announced several updates including AI Prep Search for document chunking and vector database preparation, SQL vector functions for embedding mathematics, and the general availability of multi-table transactions. They also introduced Lakeflow Designer for visual, no-code data pipeline creation and updated their serverless GPU offerings to include H100s.
ReleasesIntroducing Databricks Document Intelligence
Databricks Document Intelligence is a new solution for extracting, processing, and analyzing unstructured data from documents using large language models. It offers a unified platform for document processing, including data extraction, summarization, and question answering, with a focus on accuracy and scalability.
Unity Catalog AI 0.4.0
DatabricksFunctionClient now supports an optional warehouse_id for function execution, enabling use in workspaces without serverless compute. Python 3.10+ is now required, and several bug fixes address Gemini toolkit, LangGraph, and OSS client function creation issues.
UnityCatalog 0.4.0
Unity Catalog now fully supports AWS Storage Credentials and External Locations, centralizing cloud storage authentication and access management. Credential renewal is enabled by default for Spark jobs, and atomic CTAS operations are introduced for Delta tables, improving data reliability.
