Advancing Retrieval-Augmented Generation (RAG)

This training provides a professional deep dive into Retrieval-Augmented Generation (RAG), focusing on its definition, applications, and addressing challenges in current LLMs such as static data limitations and inaccuracies. Attendees will explore foundational RAG processes including indexing, semantic retrieval, and context-aware generation, followed by advanced techniques like query optimization and innovative indexing. The session will conclude with insights into future RAG architectures,...