What is RAG? Understanding Embeddings, Vector Databases, and Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) A model generates an answer and that answer is enhanced by retrieving relevant information from a collection of documents. Even when a Large Language Model (LLM) has a sufficiently large context window, feeding a huge amount of data into the model all at once can still cause confusion or dilute its attention. […]