The code behind the context: RAG compared to 1MM context LLMs

From Unsplash — Link

Introduction

Augmenting language models with external knowledge is a critical challenge in natural language processing. The main approach for this so far is Retrieval Augmented Generation (RAG) but can Long Context LLMs replace RAG? RAG employs a two-step process — first retrieving relevant information from a knowledge base, then generating output…