Oracle’s Fusion AI Agent Studio enables users to create intelligent agents that can retrieve and generate responses based on document data, REST Endpoints or Fusion Business Objects. In this demo, Elire expert Valentin Todorow demonstrates how to build a Retrieval-Augmented Generation (RAG) tool within AI Agent Studio using document-based data sources.
The walkthrough covers the complete process, from uploading and vectorizing documents to creating the agent, linking tools, and forming agent teams. Once indexed, the AI agent can reference document chunks directly, allowing users to ask precise, context-specific questions and receive verified responses with cited sources.
This RAG integration showcases how organizations can use Oracle’s built-in AI capabilities to strengthen knowledge management, improve accuracy, and provide faster access to trusted internal information across their Fusion Applications.
Author
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Valentin Todorow has 16 years of PeopleSoft and Cloud Technical and Functional experience. He has built various solutions with Cloud and PeopleSoft Test Management tools, and serves as a Subject Matter Expert to clients and the PeopleSoft and Cloud community.
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