Filip is a dual Microsoft MVP (Azure AI Platform / Azure Innovation Hub), author of the academic textbook "Introduction to Quantum Computing with Q# and QDK” and an open source contributor. He specializes in cloud technologies, quantum computing and AI infrastructure. Filip is based in Zürich where he works in the medical industry as a Cloud Architect.
The Retrieval-Augmented-Generation (RAG) pattern has been a key architectural pattern for building AI applications that depend on grounding outputs in real-world, factual, data. However, beyond toy scenarios, it quickly becomes apparent that traditional simple RAG suffers from quality, scalability and efficiency limitations. In this session, we will analyze those problems and survey the architectural patterns and techniques to improve performance and accuracy of RAG in your applications. Additionally, we will explore recent innovations and see how RAG fits into agentic AI space.