Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

Supriya Puragundla

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.

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Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

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