From RAGs to Riches: Using LLMs and RAGs to Enhance Your…
1.1 Introduction In this blog, I will explore Retrieval-Augmented Generation (RAG) and how it can be applied to research capabilities. RAG is a framework that integrates retrieval-based models with generative AI to provide accurate and context-aware responses by storing and retrieving snippets of relevant information prior to prompting. 1.2 LLMs and RAG Before jumping into the … Read more