ssarka4894/NeuroMentor

A comprehensive Retrieval-Augmented Generation (RAG) system specifically designed for GPU-accelerated data science education. The system combines web documentation, Jupyter notebooks, and Python code examples to provide accurate, well-cited responses about CUDA programming, RAPIDS, PyTorch, TensorFlow, and other GPU computing frameworks.

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Language

Jupyter Notebook

License

MIT

Category

rag-educational-reference

Last pushed

Dec 13, 2025

Commits (30d)

0

GitHub
RAG Educational Reference · 60 tools

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