Discover how to architect production-grade Retrieval-Augmented Generation (RAG) solutions by combining Azure AI Search's vector capabilities with Microsoft Fabric's unified data platform. This session explores proven patterns and best practices for building enterprise-scale AI applications that deliver real business impact.
We'll dive into:

Architectural patterns for RAG using Fabric OneLake and Azure AI Search
Vector search strategies for optimal retrieval performance
Integration approaches with Azure AI Studio and popular frameworks
Real-world examples of successful enterprise implementations
Key considerations for security, scale, and governance

Learn how leading organizations are leveraging these technologies to transform their data into intelligent, contextually-aware AI solutions. Whether you're planning your first RAG implementation or scaling existing solutions, you'll gain valuable insights into building robust, production-ready systems.