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For Managed AI Platform users, see the cloud platform documentation

Agentic AI

Create, connect, and test agentic workflows, integrate tools, and implement evaluation metrics.

New to the DataRobot CLI?

Agentic workflows use the DataRobot CLI (dr) to set up templates, run local development, and deploy. If you haven't installed or used the CLI yet, see Getting started with the DataRobot CLI.

  • Develop

    Build and deploy agents from templates leveraging multi-agent frameworks.

  • Evaluate

    Chat with agents, compare responses, and implement evaluation metrics.

  • DataRobot CLI

    Use the DataRobot CLI to set up templates, run local development, and deploy.

  • Agent Assist

    An interactive AI assistant optimized for the development of AI agents.

  • Model Context Protocol

    Integrate tools using MCP servers and connect IDEs and chat clients to your DataRobot MCP server.

  • Vector databases

    Create vector databases, LLM blueprints, and GenAI deployments.

  • Prompt management

    Create, manage, and share prompts that can be called into agentic workflows.

  • RAG workflows

    Create LLM blueprints, moderations, tests, and deployments.

  • Code walkthroughs

    Use code walkthroughs to implement GenAI.

  • NVIDIA AI Enterprise integration

    Use NVIDIA NIM and NeMo to accelerate GenAI application development.

  • Feature considerations

    Review LLM availability, GenAI capabilities, considerations, and troubleshooting tips.