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Title: GitHub - phrocker/GenerativeAIExamples: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

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Description: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - phrocker/GenerativeAIExamples

Open Graph Description: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - phrocker/GenerativeAIExamples

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Knowledge Graphs for RAG with NVIDIA AI Foundation Models and Endpointshttps://github.com/phrocker/GenerativeAIExamples/blob/main/community/knowledge_graph_rag
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Basic RAG with CHATNVIDIA Langchain Integrationhttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/langchain_basic_RAG.ipynb
RAG using local NIM microservices for LLMs and Retrievalhttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
RAG for HTML Documentshttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_for_HTML_docs_with_Langchain_NVIDIA_AI_Endpoints.ipynb
Chat with NVIDIA Financial Reportshttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/Chat_with_nvidia_financial_reports.ipynb
NIM Tool Calling 101https://github.com/langchain-ai/langchain-nvidia/blob/main/cookbook/nvidia_nim_agents_llama3.1.ipynb
Agentic RAG with NeMo Retrieverhttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/agentic_rag_with_nemo_retriever_nim.ipynb
Agents with Human in the Loophttps://github.com/phrocker/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/LangGraph_HandlingAgent_IntermediateSteps.ipynb
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https://github.com/phrocker/GenerativeAIExamples#end-to-end-rag-examples
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https://github.com/phrocker/GenerativeAIExamples#how-to-guides
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