Mosaic AI Agent Framework
A suite of tools by Databricks for building, deploying, and evaluating high-quality AI agents and RAG applications.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Mosaic AI Agent Framework, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
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.
Key features
- AI development
- RAG applications
- agent evaluation
- Databricks
- machine learning
Use cases
- 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.