Traditional RAG approaches have transformed the way we integrate content retrieval with generative models. However, they come with notable limitations such as efficiency bottlenecks, scalability issues, and challenges in context integration. In this session, we will explore these shortcomings in detail and introduce you to cutting-edge innovations like RAG 2.0 and GraphRAG. Learn how RAG 2.0 enhances retrieval mechanisms to improve performance and accuracy, and discover how GraphRAG leverages graph structures for superior context management and richer information synthesis.
Let's delve into the fascinating world of RAG and its latest advancements together!