Mosaic AI Agent Framework
Overview
A suite of tools by Databricks for building, deploying, and evaluating high-quality AI agents and RAG applications.
The Mosaic AI Agent Framework, developed by Databricks, is a comprehensive suite of tools designed to assist developers in creating, deploying, and assessing production-quality AI agents and Retrieval Augmented Generation (RAG) applications. It integrates seamlessly with Databricks' Data Intelligence Platform, offering features such as human feedback integration, comprehensive evaluation metrics, and end-to-end development workflows. This framework addresses common challenges in generative AI development, enabling rapid iteration and deployment of high-quality applications.
Autonomy level
73%
Reasoning: Mosaic AI Agent Framework enables high autonomy through tools for data retrieval, code execution, and external service integration while maintaining oversight via governance features. The framework supports both autonomous and human-in-the-loop workflows, with Unity Catalog functions providing governed tool execution and MLflow integration enabling...
Comparisons
Custom Comparisons
Some of the use cases of Mosaic AI Agent Framework:
- Developers seeking to build and deploy AI agents with robust evaluation metrics.
- Organizations aiming to implement Retrieval Augmented Generation applications.
- Teams requiring integrated tools for rapid iteration and deployment of AI solutions.
- Stakeholders interested in leveraging human feedback for AI application improvement.