Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

Recent advancements in agentic AI emphasize the importance of context engineering and semantic layers to enhance retrieval capabilities, moving beyond traditional retrieval-augmented generation (RAG) methods. These innovations enable AI systems to better understand and utilize contextual information, leading to more accurate, coherent, and goal-oriented interactions by integrating sophisticated semantic frameworks and tailored context management techniques.