Explore advanced strategies for developing and evaluating flexible Retrieval-Augmented Generation (RAG) systems in this comprehensive talk. Learn how to handle complex user requests, query diverse data sources and types, and evaluate sophisticated user queries. Discover techniques to overcome limitations of basic RAG systems when dealing with cross-analysis, structured data queries, and sequential reasoning. Gain insights into tool use approaches that enhance RAG system flexibility across various user requests and data sources. Delve into practical methods for improving RAG capabilities to tackle intricate information retrieval and generation tasks.