Retrieval Augmented Generation (RAG): Ultimate Guide

Retrieval-Augmented Generation (RAG) combines the strengths of traditional information retrieval systems (such as databases) with the capabilities of generative large language models (LLMs). By integrating external knowledge with its skills, the AI can produce answers that are more accurate, up-to-date, and relevant to specific needs. If you want to understand the basics of RAG take a look at this article.