Going beyond simple Retrieval-Augmented Generation 

What is Retrieval-Augmented Generation (RAG)?  Retrieval-Augmented Generation (RAG) has become a powerful method for grounding large language models (LLMs) in content tailored to specific domains. In essence, RAG systems allow users to index a body of documents and ask questions concerning the content of those documents in natural language. The system responds by first retrieving […]