What's RAG (Retrieval-Augmented Generation)?Retrieval-Augmented Generation (RAG) is a method that mixes the strengths of enormous language models (LLMs) with external data retrieval to enhance the standard and relevance of generated responses. Traditional LLMs use...
Going beyond the present Search Augmented Generation (RAG), which conducts searches based on a single knowledge source, predictions have emerged that so-called 'RAG agents', which extract information from multiple knowledge sources using various tools,...