RAG is a powerful technique in natural language processing (NLP) that combines the strengths of information retrieval and text generation to create more accurate and contextually relevant responses. RAG has the potential to revolutionize the way we interact with language models, enabling them to provide more informative and engaging responses to user queries. How RAG … Continue reading RAG-Retrieval Agumented Generation