# Agentic AI

> Agentic AI - Create, connect, and test agentic workflows, integrate tools, and implement evaluation
> metrics.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-01T23:10:47.717479+00:00` (UTC).

## Primary page

- [Agentic AI](https://docs.datarobot.com/en/docs/agentic-ai/index.html): Full documentation for this topic (HTML).

## Sections on this page

- [Build](https://docs.datarobot.com/en/docs/agentic-ai/index.html#build): In-page section heading.
- [Evaluate](https://docs.datarobot.com/en/docs/agentic-ai/index.html#evaluate): In-page section heading.
- [Deploy](https://docs.datarobot.com/en/docs/agentic-ai/index.html#deploy): In-page section heading.
- [Monitor & govern](https://docs.datarobot.com/en/docs/agentic-ai/index.html#monitor-govern): In-page section heading.
- [DataRobot CLI](https://docs.datarobot.com/en/docs/agentic-ai/index.html#datarobot-cli): In-page section heading.
- [Agent Assist](https://docs.datarobot.com/en/docs/agentic-ai/index.html#agent-assist): In-page section heading.
- [MCP](https://docs.datarobot.com/en/docs/agentic-ai/index.html#mcp): In-page section heading.
- [Vector databases](https://docs.datarobot.com/en/docs/agentic-ai/index.html#vector-databases): In-page section heading.
- [Prompt management](https://docs.datarobot.com/en/docs/agentic-ai/index.html#prompt-management): In-page section heading.
- [RAG workflows](https://docs.datarobot.com/en/docs/agentic-ai/index.html#rag-workflows): In-page section heading.
- [Code walkthroughs](https://docs.datarobot.com/en/docs/agentic-ai/index.html#code-walkthroughs): In-page section heading.
- [NVIDIA AI Enterprise integration](https://docs.datarobot.com/en/docs/agentic-ai/index.html#nvidia-ai-enterprise-integration): In-page section heading.
- [Feature considerations](https://docs.datarobot.com/en/docs/agentic-ai/index.html#feature-considerations): In-page section heading.

## Related documentation

- [DataRobot CLI](https://docs.datarobot.com/en/docs/agentic-ai/cli/index.html): Linked from this page.
- [Getting started with the DataRobot CLI](https://docs.datarobot.com/en/docs/agentic-ai/cli/getting-started.html): Linked from this page.
- [Build](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/index.html): Linked from this page.
- [Evaluate](https://docs.datarobot.com/en/docs/agentic-ai/agentic-eval/index.html): Linked from this page.
- [Deploy](https://docs.datarobot.com/en/docs/agentic-ai/agentic-deploy/index.html): Linked from this page.
- [Monitor & govern](https://docs.datarobot.com/en/docs/agentic-ai/agentic-monitor/index.html): Linked from this page.
- [Agent Assist](https://docs.datarobot.com/en/docs/agentic-ai/agent-assist/index.html): Linked from this page.
- [MCP](https://docs.datarobot.com/en/docs/agentic-ai/agentic-mcp/index.html): Linked from this page.
- [Vector databases](https://docs.datarobot.com/en/docs/agentic-ai/vector-database/index.html): Linked from this page.
- [Prompt management](https://docs.datarobot.com/en/docs/agentic-ai/prompt-mgmt/index.html): Linked from this page.
- [RAG workflows](https://docs.datarobot.com/en/docs/agentic-ai/playground-tools/index.html): Linked from this page.
- [Code walkthroughs](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/index.html): Linked from this page.
- [NVIDIA AI Enterprise integration](https://docs.datarobot.com/en/docs/agentic-ai/genai-integrations/genai-nvidia-integration.html): Linked from this page.
- [Feature considerations](https://docs.datarobot.com/en/docs/reference/gen-ai-ref/genai-consider.html): Linked from this page.

## Documentation content

# Agentic AI

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

> [!TIP] New to the DataRobot CLI?
> Agentic workflows use the [DataRobot CLI](https://docs.datarobot.com/en/docs/agentic-ai/cli/index.html) ( `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](https://docs.datarobot.com/en/docs/agentic-ai/cli/getting-started.html).

- Build¶ Build and deploy agents from templates leveraging multi-agent frameworks.
- Evaluate¶ Chat with agents, compare responses, and implement evaluation metrics.
- Deploy¶ Register and deploy agentic artifacts and configure evaluation and moderation guardrails in Registry.
- Monitor & govern¶ Monitor deployment details, usage stats, metrics, logs, and moderation events for agentic artifact deployments in Console.
- 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.
- MCP¶ 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.