mamiriqbal1/rag_book_qa_prompt

A simple demonstration of how you can implement retrieval augmented generation (RAG) for a book.

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Experimental

This tool helps you quickly find answers within a large document, like a textbook or reference manual. You provide a PDF document and a question, and it gives you a targeted prompt to paste into a large language model (like ChatGPT) to get an answer based *only* on your document. It's for researchers, students, or anyone who needs to extract specific information from long texts efficiently.

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Use this if you need to ask specific questions about the content of a PDF book or extensive document and want to ensure the answers come directly from that source.

Not ideal if you want a fully automated question-answering system without manual copying and pasting, or if your document is not text-based.

academic-research textbook-study information-retrieval document-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
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Jupyter Notebook

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Last pushed

Nov 29, 2023

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curl "https://pt-edge.onrender.com/api/v1/quality/rag/mamiriqbal1/rag_book_qa_prompt"

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