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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

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The second option is using a SageMaker notebook instance , which is a fully managed ML compute instance running the Jupyter Notebook app. We use two AWS Media & Entertainment Blog posts as the sample external data, which we convert into embeddings with the BAAI/bge-small-en-v1.5 Deploy the BAAI/bge-small-en-v1.5 embeddings.

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