CAT 
In this post, we provide a step-by-step guide for creating an enterprise ready RAG application such as a question answering bot. We use the Llama3-8B FM for text generation and the BGE Large EN v1.5 text embedding model for generating embeddings from Amazon SageMaker JumpStart.
Originally appeared here:
Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart
