RAG, or Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG): Understanding Its Impact in Machine Learning Retrieval-Augmented Generation (RAG) is changing the landscape of machine learning by combining two powerful techniques: information retrieval and natural language generation. With this method, AI systems provide responses that are coherent, accurate, and grounded in real data.   How RAG Works The process begins with finding […]