Quickly Build, Deploy and Assess a RAG Application with the Agent Bricks Custom Agents and Agent Evaluation

In this tour, you'll learn how to deploy and evaluate AI agents using the Agent Bricks Custom Agents and Agent Evaluation tools.

We'll deploy a Retrieval-Augmented Generation (RAG) application with the Agent Bricks Custom Agents.

By the end of the tour, you'll have a production-ready serving endpoint and a review application to collect stakeholder feedback.

Additionally, you'll explore how the Databricks MLflow feature assesses the quality of your RAG agent, focusing on key metrics such as latency and token cost.