ralphcajipe/ask-pdf
A RAG Application to Ask Questions from a PDF Document using Large Language Models and Vector Database
This tool helps researchers, students, and anyone who needs to quickly find specific information within a PDF document. You input a question, provide a PDF file, and the system generates an answer by referencing content directly from the document. It's designed for individuals who want to extract precise details without manually sifting through lengthy texts.
No commits in the last 6 months.
Use this if you need to rapidly find answers to specific questions buried within a long PDF document, such as a research paper, report, or manual.
Not ideal if you need to summarize entire documents or perform complex data extraction that goes beyond direct question-answering from text.
Stars
14
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ralphcajipe/ask-pdf"
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...