NVIDIA
Explore
Models
Blueprints
GPUs
Docs
⌘KCtrl+K
Terms of Use
Privacy Policy
Your Privacy Choices
Contact

Copyright © 2026 NVIDIA Corporation

14 results for

Filters (1)

  • Download Available
    10
  • API Endpoint
    4
  • Launchable
    0
  • Enterprise
    0
  • Retrieval Augmented Generation
    14
  • Text-to-Embedding
    9
  • Code Generation
    0
  • Drug Discovery
    0
  • Image-to-Text
    0
  • NVIDIA
    13
  • BAAI
    1
  • Meta
    0
  • Mistral AI
    0
  • Microsoft
    0
  • NVIDIA AI
    0
  • NVIDIA Omniverse
    0
  • NVIDIA BioNemo
    0
  • NVIDIA Isaac GR00T
    0
  • Retrieval Augmented Generation
    • 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-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

    nv-embed-v1

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

    nv-embedqa-e5-v5

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

    rerank-qa-mistral-4b

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    Ranking
    72.35K
    1y
    Items per page
    of 1 pages