RAG-Powered AI Agents: Why Retrieval-Augmented Generation Is a Game Changer

How RAG-Powered AI Agents Work and Learn RAG-powered AI agents typically rely on neural networks, which are loosely inspired by the human brain’s structure. These systems learn to detect patterns in large datasets through supervised or unsupervised learning. During training, the model processes massive amounts of data to understand relationships between input and output. However, […]