In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) has emerged as a transformative approach that enhances the capabilities of large language models (LLMs).By integrating real-time, external data sources into the response generation process, RAG addresses the limitations of traditional LLMs, such as outdated information and the generation of plausible yet incorrect responses, + Read More The post What is Retrieval-Augmented Generation or RAG ? ap...
