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29 results for

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  • Download Available
    20
  • Launchable
    6
  • API Endpoint
    3
  • Enterprise
    2
  • Retrieval Augmented Generation
    11
  • Text-to-Embedding
    7
  • Object Detection
    6
  • Optical Character Recognition
    2
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    0
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    26
  • Cyborg
    1
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    1
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  • nemo retriever
    • NVIDIA
    LaunchableEnterprise

    Build an AI Agent for Enterprise Research

    Build a custom enterprise research assistant powered by state-of-the-art models that process and synthesize multimodal data, enabling reasoning, planning, and refinement to generate comprehensive reports.
    Blueprint
    NIM
    3w
    NVIDIA
    LaunchableEnterprise

    Build an Enterprise RAG Pipeline Blueprint

    Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.
    Blueprint
    NIM
    2w
    University at Buffalo

    cached

    Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
    Model
    nemo retriever
    738
    1y
    Cyborg
    Launchable

    Cyborg Enterprise RAG

    Securely extract, embed, and index multimodal data with encryption in-use for fast, accurate semantic search.
    Blueprint
    NIM
    2w
    NVIDIA

    llama-3.2-nemoretriever-1b-vlm-embed-v1

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    272K
    8mo
    NVIDIA

    llama-3.2-nemoretriever-500m-rerank-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    1.08K
    8mo
    NVIDIA

    llama-3.2-nv-embedqa-1b-v2

    Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
    Model
    nemo retriever
    6.68M
    7mo
    NVIDIA

    llama-3.2-nv-rerankqa-1b-v2

    Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
    Model
    nemo retriever
    156K
    7mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v1

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    58.09K
    7mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    151K
    5mo
    NVIDIA

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    67.61K
    2d
    NVIDIA

    llama-nemotron-embed-vl-1b-v2

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    627K
    3w
    NVIDIA

    llama-nemotron-rerank-1b-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    Today
    NVIDIA
    Launchable

    Multi-Agent Intelligent Warehouse

    An AI-powered, multi-agent system designed to optimize warehouse operations through intelligent automation, real-time monitoring, and natural language interaction.
    Blueprint
    nemo retriever
    2w
    NVIDIA

    nemoretriever-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    76.94K
    11mo
    NVIDIA

    nemoretriever-ocr

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    70.61K
    7mo
    NVIDIA

    nemoretriever-ocr-v1

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    556K
    7mo
    NVIDIA

    nemoretriever-page-elements-v2

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    276K
    11mo
    NVIDIA

    nemoretriever-page-elements-v3

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    690K
    2mo
    NVIDIA

    nemoretriever-parse

    Cutting-edge vision-language model exceling in retrieving text and metadata from images.
    Model
    optical character recognition
    295K
    9mo
    NVIDIA

    nemoretriever-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    133K
    11mo
    NVIDIA

    nemotron-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    3.53K
    2d
    NVIDIA

    nemotron-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    2.75K
    2d
    NVIDIA

    nv-embedcode-7b-v1

    The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
    Model
    nemo retriever
    323K
    9mo
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