What Is Retrieval-Augmented Generation (RAG) in LLM and How Does It Work? | HackerNoon
Briefly

RAG integrates information retrieval into generation, allowing AI to access external knowledge for more context-aware responses, surpassing limitations of pre-learned data.
RAG's architecture combines a retriever component that fetches relevant external data and a generator component that uses this data to enhance response generation.
Read at Hackernoon
[
|
]