AI for Developers (Part 3): Training models w/ private data using Retrieval Augmented Generation (RAG) - Seguridad Mania.com - España y América Latina

In this session, you’ll learn how to integrate Generative AI into real-world applications using Retrieval-Augmented Generation (RAG). We’ll explain what RAG is and explore how to integrate private data and other data sources into applications, improving accuracy of the responses from LLMs. We will demo the following: Ingest and utilize private documents securely within an AI-powered application. Apply the RAG pattern to improve accuracy and relevance in AI-generated responses. Extend AI models with tools and agents to enable interactive, task-driven automation. Understand the limitations of RAG and when to consider fine-tuning By the end of this session, you’ll have practical experience building AI-enhanced applications on OpenShift, leveraging modern cloud-native and AI-driven development practices. Live event not at the best time for you? In order to support our global partner ecosystem, all webinars are available on-demand after the live event. Register and you will receive an email reminder for on-demand viewing. *Red Hat collects your personal data when you submit information as a part of the registration process within BrightTalk. By registering for any of our webinars, you agree that Red Hat and the Red Hat Partner Program may contact you by email about products, services, and offerings that may be of interest to you. You may opt out at any time. For more information, please visit our Privacy Policy and Partner Preference Center: https://connect.redhat.com/en/partner-preferences.