Deep Dive into Microsoft Foundry IQ

Explore Microsoft Foundry IQ and its advanced capabilities in this comprehensive technical walkthrough that demonstrates how AI models can be enhanced with Retrieval-Augmented Generation (RAG) techniques. Learn about the evolution from basic AI models with limited knowledge to sophisticated agentic RAG systems that can access multiple knowledge sources and provide more accurate, contextual responses. Discover how Azure AI Search integrates with Foundry IQ to create powerful knowledge bases, and understand the different types of knowledge sources including remote sources that can be incorporated into your AI solutions. Master the configuration of knowledge sources, understand SKU limits and capacity planning, and learn how to organize knowledge into collections for optimal performance. Examine the importance of reasoning effort settings and how proper descriptions and instructions significantly impact AI response quality. Explore self-reflection capabilities that allow the system to evaluate and improve its own responses, and understand the various output modes available for different use cases. See practical demonstrations of these output modes in action and gain insights into the internal thinking processes of the AI system. Understand how multiple Foundry IQ instances can work together to create comprehensive AI solutions, with detailed coverage of configuration best practices, performance optimization, and real-world implementation strategies for enterprise environments.