CSroseX/PDF-qa-app
Enables context-aware question answering over PDFs using retrieval-augmented generation with vector embeddings. Built with Next.js App Router and OpenAI models for low-latency document search and response generation.
Stars
—
Forks
—
Language
TypeScript
License
—
Category
Last pushed
Jan 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/CSroseX/PDF-qa-app"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
StephenGenusa/semantic-qa-gen
A Python library for generating high-quality question-answer pairs from PDF, DOCX, MD, and TXT files
arshadmurtaza03/document_portal
Production-ready AI Document Portal: Multi-mode analysis and RAG-powered chat using FastAPI,...
luongnv89/doc-bases
Intelligent Answers from Any Document
SmartDocQ/SmartDocQ
SmartDocQ is an AI-powered assistant designed to help users intelligently search, analyze, and...
md-abid-hussain/docquery
DocQuery: Turn your documentation markdown to knowledgebase