The Generative AI Revolution: An Introduction to Retrieval Augmented Generation
The release of ChatGPT in November 2022 sparked tremendous excitement about the potential for large language models (LLMs) like it to revolutionize how people and organizations use AI. However, in their default form, these models have limitations around working with custom data.
This is where the idea of retrieval augmented generation (RAG) comes in. RAG is a straightforward technique that enables LLMs to dynamically incorporate external context from databases. By retrieving and appending relevant data to prompts, RAG allows LLMs to produce high-quality outputs personalized to users' needs.
Since ChatGPT
