RAG

Retrieval Augmented Generation (RAG) is a way to make LLMs like GPT-4 more accurate and personalized to your specific data. LLMs are powerful as hell, but they’re also generic: they’re trained on all data on the internet ever! RAG helps you get more personalized responses tailored to your data by embedding your data in your model prompts.