Learn to build and optimize RAG (Retrieval-Augmented Generation) retrievers for high-performing systems in this hands-on workshop. Discover why the retriever serves as the most critical component of a RAG system and directly impacts response quality. Master proven strategies to enhance existing RAG retrievers for more accurate and reliable context retrieval. Build flexible retrievers from scratch using LanceDB that effectively capture user intent and improve over time. Gain practical experience through hands-on exercises that demonstrate real-world implementation techniques for creating robust, adaptable RAG systems that deliver superior performance in information retrieval and generation tasks.