Revolutionizing RAG: CAG New Paradigm for Lightning-Fast AI Responses
Key Points CAG (Cache-Augmented Generation) is a new paradigm that preloads all necessary information into the model’s context window, avoiding the real-time information retrieval delays and error risks associated with traditional RAG (Retrieval Augmented Generation). CAG uses a KV caching mechanism to preload the entire knowledge base as key-value pairs, enhancing response speed, accuracy, and … Read more