Mosaic AI Agent Framework is a comprehensive suite of tools designed to help developers build and deploy high-quality generative AI applications using retrieval augmented generation (RAG) for consistently accurate, safe, and governed outputs.

Key Features:

• Mosaic AI Agent Framework provides a robust environment for building production-quality RAG applications, ensuring outputs are consistently measured and evaluated for accuracy and safety.
• The framework facilitates rapid development iteration, allowing developers to quickly test hypotheses and redeploy applications without code changes using an end-to-end LLMOps workflow.
• It offers seamless integration with the Databricks Data Intelligence Platform, providing comprehensive governance and guardrails to prevent toxic responses and ensure adherence to organizational policies.

Benefits:

• Developers can easily evaluate and improve the quality of their RAG applications, ensuring high standards of accuracy and safety in outputs.
• The framework supports rapid iteration and deployment, significantly reducing the time and effort required to bring generative AI applications to production.
• With built-in governance and guardrails, organizations can confidently deploy AI applications that align with their security and policy requirements.

Use Cases:

• Ford Direct utilized the Mosaic AI Agent Framework to create a unified chatbot that helps dealers assess performance, inventory, trends, and customer engagement metrics.
• Corning developed an AI research assistant using the framework to index 25 million documents of U.S. patent office data, enhancing retrieval speed and response accuracy for researchers.
• Lippert transformed its customer support operations by setting up an agent-assist experience powered by Vector Search, enabling agents to swiftly find answers to customer inquiries.