nhevers/docrag
document retrieval and QA pipeline
This tool helps you quickly find answers within a large collection of your own documents. You feed it a set of documents, ask it questions in natural language, and it gives you direct answers along with references to where it found the information. Anyone who needs to extract specific details from many text documents, like a researcher sifting through papers or a legal assistant reviewing contracts, would find this useful.
Use this if you need to rapidly query a personal collection of documents to find precise answers without manually sifting through each one.
Not ideal if you're looking for a tool to generate creative new text or summarize content without specific questions in mind.
Stars
10
Forks
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Language
Python
License
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Category
Last pushed
Jan 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/nhevers/docrag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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