nico-martin/ask-my-pdf

A Webapp that uses Retrieval Augmented Generation (RAG) and Large Language Models to interact with a PDF directly in the browser.

39
/ 100
Emerging

This web application helps you quickly understand and extract information from PDF documents. You upload a PDF, and it allows you to ask questions about its content directly in your browser. The output is a clear, concise answer based on the document, making it ideal for researchers, students, or business professionals who need to rapidly grasp key details from lengthy reports, articles, or manuals.

106 stars. No commits in the last 6 months.

Use this if you need to quickly get answers to specific questions from a PDF document without reading the entire text.

Not ideal if you need to edit the PDF, convert it to another format, or perform complex data extraction that requires structured output beyond direct answers.

document-analysis research-summary information-retrieval report-understanding
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

106

Forks

12

Language

TypeScript

License

MIT

Last pushed

Nov 24, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/nico-martin/ask-my-pdf"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.