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Databricks AI-powered features

This page provides information about the Databricks AI-powered features that can make your work in Databricks more efficient. These features include Databricks Assistant for help with coding and creating dashboards, automatically generated table documentation in Catalog Explorer, and help in the workspace.

What are Databricks AI-powered features?

Databricks AI-powered features enable existing product experiences to be more accurate and provide more relevant results such as Databricks Assistant, AI-generated comments, and intelligent search. Databricks uses a compound AI system that combines the use of AI models, retrieval, ranking, and personalization systems to understand the semantics of your organization’s data and usage patterns.

These Databricks AI-powered features enable everyone in an organization to be more productive using data and AI, while maintaining the governance and controls established in Unity Catalog.

Databricks AI features: Trust and safety

Databricks understands the importance of your data and the trust you place in us when you use Databricks services. Databricks is committed to the highest standards of data protection and has implemented rigorous measures to ensure your information is protected. For more details, see Databricks AI features trust and safety.

How do I enable or disable Databricks Assistant?

Databricks Assistant is enabled by default. An admin can disable or enable Databricks Assistant for all workspaces in an account. If an admin has permitted workspace setting overrides, workspace admins can enable or disable Databricks Assistant for specific workspaces. For more details, see For an account: Disable or enable Databricks Assistant features.

Use Databricks Assistant to develop code

Databricks Assistant works as an AI-based companion pair-programmer to make you more efficient as you create notebooks, queries, and files. It provides inline code suggestions as you type, can help you rapidly answer questions by generating, optimizing, completing, explaining, and fixing code and queries. Databricks Assistant is available in notebooks, the SQL editor, and when creating dashboards. For details, see Enable and try Databricks Assistant and What is Databricks Assistant?.

To learn about command shortcuts, see Command shortcuts for notebooks.

Create dashboards with Databricks Assistant

When drafting a dashboard, you can use natural-language prompts to build the charts you want to see. For details, see Create visualizations with Databricks Assistant.

AI-generated table comments in Catalog Explorer

For tables in Catalog Explorer, Databricks automatically generates comments that describe the table based on the table metadata. You do not have to do anything to generate this documentation. You can edit the comment, accept it as-is, or delete it. For detail, see Add comments to data and AI assets.

Use Databricks Assistant for help

The help assistant is always available to you in the Databricks workspace. You can type in a question, and it generates answers based on Databricks documentation and knowledge base articles. For details, see Get help in the Databricks workspace.