Emrah Mete
At Microsoft, my focus is on leveraging Azure's robust platform to empower customers in designing advanced, scalable AI and Data Analytics solutions. With a deep understanding of conversational AI and Generative AI technologies, I innovate and implement sophisticated applications that are reshaping the industry.
Sessions
Traditional Retrieval-Augmented Generation (RAG) provides a strong foundation for combining retrieval and generation, but it struggles with complex queries and dynamic contexts. Agentic Retrieval overcomes these limitations by introducing query planning, multi-step reasoning, and adaptive strategies to deliver more accurate and context-aware responses. In this session, we will explore the architecture of Agentic Retrieval, its integration with Azure AI Search, techniques like query decomposition and the ReAct pattern, and real-world use cases. Attendees will learn how agent-based approaches are transforming RAG systems and which design patterns are critical for building smarter retrieval solutions.