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nsr51324
/
CortexRAG

sentence-transformers
rag
medical-ai
faiss
fastapi
cross-encoder
groq
Model card Files Files and versions
xet
Community

Instructions to use nsr51324/CortexRAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use nsr51324/CortexRAG with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("nsr51324/CortexRAG")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
CortexRAG
295 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits

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