Quickly Build, Deploy, and Assess a RAG Application with the Mosaic AI Agent Framework and Agent Evaluation

What you’ll learn

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

We'll deploy a Retrieval-Augmented Generation (RAG) application with the Mosaic AI Agent Framework.

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 Mosaic AI Agent Evaluation feature assesses the quality of your RAG agent, focusing on key metrics such as latency and token cost.

Launch product tour

Recommended

<p>Build High-Quality RAG Apps with Mosaic AI Agent Framework and Agent Evaluation, Model Serving, and Vector Search</p>

Tutorial

Build High-Quality RAG Apps with Mosaic AI Agent Framework and Agent Evaluation, Model Serving, and Vector Search

<p>Mosaic AI: Fine-Tune Your LLM on Databricks for Specialized Tasks and Knowledge</p>

Tutorial

Mosaic AI: Fine-Tune Your LLM on Databricks for Specialized Tasks and Knowledge

<p>Create Your LLM Agents Leveraging Tools with Unity Catalog Functions</p>

Tutorial

Create Your LLM Agents Leveraging Tools with Unity Catalog Functions