Agent Bricks

Beta

This feature is in Beta.

This article describes what Agent Bricks is, how it works, and the use cases it supports.

What is Agent Bricks?

Agent Bricks provides a simple, no-code approach to build and optimize domain-specific, high-quality AI agent systems for common AI use cases. Agent Bricks streamlines the implementation of AI agent systems so that users can focus on the problem, data, and metrics instead.

Agent Bricks is a Databricks Designated Service, which means that it uses Databricks Geos to manage data residency when processing customer content.

How does Agent Bricks work?

Agent Bricks is powered by Databricks Mosaic AI to allow users to deploy comprehensive AI agent systems customized with their unique data quickly and easily.

1. Specify your problem.

   Specify your use case and point to your data.

2. Agent Bricks automatically builds out the entire AI agent system for you.

   Agent Bricks will automatically try various AI models, fine-tune them using your data, optimize the systems using innovative AI techniques, and evaluate them to offer you the best built-out systems.

3. Further refine the system for continuous improvement.

   When you use Agent Bricks, Databricks will run additional methods and hyperparameter sweeps in the background to continually optimize your model result. If our evaluations indicate a different model would achieve better results, Databricks will notify you without additional charge.

Agent Bricks is seamlessly integrated with the rest of the Databricks Data Intelligence Platform. This means you have everything you need to deploy AI solutions, from security and governance to data integration, vector indexes, and quality evaluation. This is all available as a one-button optimized deployment.

Supported use cases

Agent Bricks currently supports the following use cases, with more coming soon:

Agent Bricks	Use case
Information Extraction	Transform large volumes of unlabeled text documents into structured tables with extracted information
Model Specialization	Custom text generation tasks, such as s summarization, classification, and text transformation.
Knowledge Assistant	Turn your documents into a high-quality chatbot that can answer questions and cite its sources.