RAG vs. CAG, Explained Visually!

Cache-Augmented Generation (CAG) improves upon traditional RAG by caching static, rarely-changing information directly in the model's key-value memory, while continuing to retrieve dynamic data from vector databases. This hybrid approach reduces redundant fetches, lowers costs, and speeds up inference by separating stable Show more