Build gen AI apps on Databricks

This page is an overview of the tools available for developing generative AI apps on Databricks, including building, deploying, and managing generative AI apps.

Serve and query gen AI models

Serve a curated set of gen AI models from LLM providers such as OpenAI and Anthropic and make them available through secure, scalable APIs.

Feature	Description
Foundation Models	Serve gen AI models, including open source and third-party models such as Meta Llama, Anthropic Claude, OpenAI GPT, and more.

Build enterprise-grade AI agents

Build and deploy your own agents, including tool-calling agents, retrieval-augmented generation apps, and multi-agent systems.

Feature	Description
AI Playground (no code)	Prototype and test AI agents in a no-code environment. Quickly experiment with agent behaviors and tool integrations before generating code for deployment.
Mosaic AI Agent Framework	Author, deploy, and evaluate agents in Python. Supports agents written with any authoring library, including LangChain, LangGraph, and pure Python code agents. Supports Unity Catalog for governance and MLflow for tracking.
Agent Bricks (no code)	Build and optimize domain-specific AI agent systems with a simple, no-code interface. Focus on your data and metrics while Agent Bricks streamlines implementation.

Evaluate, debug, and optimize agents

Track agent performance, collect feedback, and drive quality improvements with evaluation and tracing tools.

Feature	Description
Agent Evaluation	Use Agent Evaluation and MLflow to measure quality, cost, and latency. Collect feedback from stakeholders and subject matter experts through built-in review apps and use LLM judges to identify and resolve quality issues.
MLflow Tracing	Use MLflow Tracing for end-to-end observability. Log every step your agent takes, making it easy to debug, monitor, and audit agent behavior in development and production.

Productionize AI agents

Deploy and manage agents in production with scalable endpoints, observability, and governance built in.

Task	Description
Log and register agents	Log agent code, configuration, and artifacts in Unity Catalog for governance and lifecycle management.
Deploy agents	Deploy agents as managed, scalable endpoints.
Monitor agents	Use the same evaluation configuration (LLM judges and custom metrics) in offline evaluation and online monitoring.