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On-premise users: click in-app to access the full platform documentation for your version of DataRobot.

Generative AI

Availability information

DataRobot's Generative AI capabilities are a premium feature; contact your DataRobot representative for enablement information. Try this functionality for yourself in a limited capacity in the DataRobot trial experience.

Working with Generative AI (GenAI) in DataRobot can include creating vector databases, creating and comparing LLM blueprints in the playground, preparing LLM blueprints for deployment, working with metrics, and bringing your own LLM.

See the list of considerations to keep in mind when working with DataRobot GenAI.

Topic Description
GenAI overview and use cases See an overview of the DataRobot GenAI workflow as well as a variety of sample use cases.
Create vector databases Create, configure, and version vector databases.
Work in the playground Create LLMs, compare chats, apply metrics, and fine-tune results.
Deploy LLMs to production Register LLMs for deployment.
Code-based GenAI Use code to create and validate external vector databases and LLMs; walk through a comprehensive GenAI overview.
Feature considerations Review criteria to keep in mind when working with DataRobot GenAI AI capabilities.
Troubleshooting Reference error handling for common playground and vector database situations.

Updated November 12, 2024