mohd-faizy/RAG-DeepSeek

Efficiently search and retrieve information from PDF documents using a Retrieval-Augmented Generation (RAG) approach. This project leverages DeepSeek-R1 (1.5B) for advanced language understanding, FAISS for high-speed vector search, and Hugging Face’s ecosystem for enhanced NLP capabilities. With an intuitive Streamlit interface and Ollama for mode

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Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 3 / 25
Maturity 9 / 25
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3

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Language

Python

License

MIT

Last pushed

Mar 09, 2025

Commits (30d)

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