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9 results for

Filters (1)

  • Download Available
    7
  • API Endpoint
    2
  • Launchable
    0
  • Enterprise
    0
  • Retrieval Augmented Generation
    9
  • Text-to-Embedding
    9
  • Code Generation
    0
  • Drug Discovery
    0
  • Image-to-Text
    0
  • NVIDIA
    8
  • BAAI
    1
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    0
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    0
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    0
  • Text-to-Embedding
    • BAAI

    bge-m3

    Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
    Model
    Embeddings
    2.07M
    10mo
    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-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-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

    nv-embed-v1

    Generates high-quality numerical embeddings from text inputs.
    Model
    Non-Commercial Use Only
    1.05M
    7mo
    NVIDIA

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    3.22M
    7mo
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