What is RAG? Let's try to understand the whole picture easily

This article introduces RAG (Retrieval-Augmented Generation) as a solution to limitations of LLMs like ChatGPT, such as inability to answer questions based on internal documents, providing incorrect answers, and lacking up-to-date information. It aims to explain the inner workings of RAG in three steps without delving into implementation details or mathematical formulas, targeting readers who want to understand the concept and be able to explain it to others.

• •RAG addresses the limitations of LLMs in accessing and utilizing external or private data.
• •The article focuses on conceptual understanding rather than technical implementation.
• •The goal is to enable readers to explain RAG to others.