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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 / rag_model
63.6 MB
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  • 1 contributor
History: 2 commits
nsr51324's picture
nsr51324
Upload 21 files
dac03af verified 1 day ago
  • data
    Upload 21 files 1 day ago
  • faiss
    Upload 15 files 3 days ago
  • models
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  • rag_config.json
    351 Bytes
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  • requirements.txt
    64 Bytes
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