This Guidance demonstrates question answering using Retrieval Augmented Generation (RAG) with foundation models in Amazon SageMaker JumpStart. Generative AI is powered by large language models (LLMs), commonly referred to as foundation models, that are pre-trained on vast amounts of data. This Guidance shows how to solve a question answering task with Amazon SageMaker LLMs and embedding endpoints so you can build models that generate text based on specific, enterprise data rather than generic data. This can help you automate tasks, enhance your applications, and improve information retrieval.