30
May
Retrieval Augmented Generation (RAG, pronounced 'rag') works by fetching selective data from a custom knowledge base and integrating it with the output of a language model to provide accurate and up-to-date responses.RAG can be defined as a ChatGPT-like interface that can use your pdfs, documents or databases to answer questions from you. You can use it as a study assistant to understand documents by asking questions about those documents. In this article, we discuss the benefits of using a RAG system and explain its key components. We also detailhow RAG works to enhance the capabilities of large language models by…