Comprehending RAGs (LLM) - A1
A foundational look at Retrieval-Augmented Generation systems.
Retrieval-Augmented Generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
In this article, I explore the core components of a RAG system and how they fit together to create more intelligent applications.