lfoppiano/document-qa
Scientific Document Insight Q/A
This tool helps researchers, scientists, and students quickly extract information from scientific articles. You upload a PDF of a research paper, and it allows you to ask questions about its content in plain language. The system provides answers based on the document, highlighting key entities like physical quantities, measurements, and materials.
No commits in the last 6 months.
Use this if you need to rapidly understand specific details or key findings within scientific documents without reading them cover-to-cover.
Not ideal if you are working with highly sensitive data or non-scientific document types like marketing reports or legal briefs.
Stars
34
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/lfoppiano/document-qa"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
weiwill88/Local_Pdf_Chat_RAG
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
EarthlyAlien/Document-Assistant
RAG based Document Assistant for Search
shubham0204/OnDevice-RAG-Android
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
dev-it-with-me/RagUltimateAdvisor
A complete Retrieval-Augmented Generation (RAG) application that demonstrates modern AI...