A standard SageMaker notebook instance should be sufficient to run below demos. e.g. "ml.t3.medium"
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chatglm2-langchain-vetordb_deploy.ipynb is an example for deploying THUDM/chatglm2-6b with vectorDB Chroma and LangChain on AWS SageMaker Platform, targeting at building private query-answer system powered by vectorDB and LLM.
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baichuan13b-langchain-vetordb_deploy.ipynb is an example for deploying baichuan-inc/Baichuan-13B-Chat with vectorDB Chroma and LangChain(ducument processing only) on AWS SageMaker Platform, targeting at building private query-answer system powered by vectorDB and LLM.
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chatglm3-streaming-deploy.ipynb is a streaming outputs example deployed on SageMaker.
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bedrock-langchain-vectordb.ipynb is an example for combining bedrock-claude with vectorDB for llm+RAG usecase.
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bedrock-knowledgebase-streamlit.ipynb is an example for combining bedrock-claude, KnowledgeBase and Streamlit for llm+RAG usecase.
Stay tuned ...