Retrieval-Augmented Generation (RAG) is a powerful technique that combines Large Language Models (LLMs) with external retrieval systems to generate more accurate, contextually relevant, and dynamic responses. In essence, RAG adds a retrieval step to your model’s pipeline, enabling it to … Read More
