jatin-12-2002/Interview_Question_Creator

AI-powered tool for generating domain-specific interview questions and answers from PDFs. Leverages Mistral LLM via LangChain, FAISS for embeddings, Redis/Celery for async tasks, and FastAPI backend. Deploys on AWS EC2 for scalability, providing tailored questions across technical, theoretical, and behavioral domains.

15
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 2 / 25
Maturity 1 / 25
Community 12 / 25

How are scores calculated?

Stars

2

Forks

1

Language

Jupyter Notebook

License

—

Category

pdf-question-answering

Last pushed

Nov 05, 2024

Commits (30d)

0

GitHub
PDF Question Answering · 62 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/jatin-12-2002/Interview_Question_Creator"

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

39

arshadmurtaza03/document_portal

Production-ready AI Document Portal: Multi-mode analysis and RAG-powered chat using FastAPI,...

36

luongnv89/doc-bases

Intelligent Answers from Any Document

33

SmartDocQ/SmartDocQ

SmartDocQ is an AI-powered assistant designed to help users intelligently search, analyze, and...

33

md-abid-hussain/docquery

DocQuery: Turn your documentation markdown to knowledgebase

29

Explore RAG Tools

All categories Trending RAG directory Insights