In this session, we'll explore how Azure Cosmos DB empowers cutting-edge AI workflows by seamlessly integrating diverse functionalities, including vector storage, semantic layering, and mirroring capabilities with Microsoft Fabric for enhanced data analytics and visualization.

Learn how Durable Multi-Agents, built with .NET's Semantic Kernel and Azure Durable Functions, utilize Azure Cosmos DB to orchestrate complex, scalable, and reliable AI-powered operations. We'll discuss how Azure Cosmos DB serves as:

1. A vector store to enable efficient similarity search and knowledge retrieval.
2. A semantic layer for generating better results in RAG scenarios with natural language-to-SQL conversion.
3. A mirroring solution with Microsoft Fabric, enabling automated data synchronization for actionable insights and analytics.

This session will showcase real-world examples of multi-agent setups managing dynamic, large-scale datasets while maintaining high availability and performance. Whether you're building intelligent agents, crafting actionable analytics, or optimizing your AI pipelines, you'll gain actionable strategies to leverage Azure Cosmos DB’s versatility in your projects.