A survey of Retrieval Augmented Generation (RAG) developments, including a four-axis taxonomy of efficiency, defense, interactivity, and reasoning. The survey examines contemporary RAG advancements, formalizing key components and reviewing methods for dense and sparse retrieval, fusion strategies, and evaluation practices.