Jesús Aguado

In a previous article of our blog we detailed what is RAG (Retrieval Augmented Generation) and how to take advantage of embedding models to extend the knowledge of an LLM with our own document base. In this post, we will…

RAG stands for “retrieval augmented generation”. RAG is intended to allow a “large language model” (LLM) to use additional information provided by a user. LLMs are trained on large amounts of text, usually obtained from the Internet. However, it would…