Retrieval Augmented Generation (RAG) Best Knowledge for 2026
In the rapidly evolving landscape of Large Language Models (LLMs), a critical bottleneck has emerged: knowledge stagnation. Once an AI model is trained, its internal knowledge is frozen in time. To bridge the gap between static training data and the dynamic real world, researchers and engineers have turned to a powerful paradigm known as Retrieval […]