xumozhu/RAG-system
Retrieval-Augmented Generation system: ask a question, retrieve relevant documents, and generate precise answers. RAG demo: document retrieval + LLM answering
This tool helps you get precise answers to questions based on your own PDF documents. You input your collection of PDFs and ask a question in plain language. The system retrieves relevant information from your documents and then generates a clear, concise answer. It's ideal for analysts, researchers, or anyone who needs to quickly extract specific facts from a set of business, research, or operational documents.
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Use this if you need to quickly find specific answers hidden within a collection of your own PDF files without manually searching through each one.
Not ideal if you need a conversational AI chatbot or a system that can understand and generate content beyond the scope of your provided documents.
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8
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4
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 18, 2025
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