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NVIDIA AI Blueprints

NVIDIA AI Blueprints are reference examples that illustrate how NVIDIA NIM can be leveraged to build innovative solutions.

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  1. video-search-and-summarization video-search-and-summarization Public

    NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automate…

    Python 1.9k 411

  2. deep-researcher-agent deep-researcher-agent Public

    The NVIDIA Deep Researcher Agent Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art models, and deliver tr…

    Python 899 281

  3. pdf-to-podcast pdf-to-podcast Public

    Transform PDFs into AI podcasts for engaging on-the-go audio content.

    Python 881 240

  4. rag rag Public

    This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

    Python 794 336

  5. portfolio-optimization portfolio-optimization Public

    Powered by NVIDIA cuOpt: a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling Mean-CVaR and Mean-Variance investment workflows with CUDA-X Data Science.

    Jupyter Notebook 499 118

  6. llm-router llm-router Public

    Route LLM requests to the best model for the task at hand.

    Jupyter Notebook 354 101

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