Upload a manual, policy, contract or course book and ask questions in plain English. The AI answers only from your document and shows the page for every fact, so you can check it.
This is a RAG system: Retrieval-Augmented Generation. The AI looks things up before it answers.
Your browser reads the PDF and splits it into short passages, remembering each passage's page.
Each passage becomes an embedding: a list of numbers that captures its meaning.
For your question, a hybrid search finds the best passages by meaning and by keywords.
The AI answers using only those passages, and cites the page each fact came from.
Built to give answers you can trust.
Every fact has a page chip. Click it to see the exact passage the answer used.
If the document doesn't say it, the chatbot says "I couldn't find that" instead of making something up.
Combines meaning-based search with BM25 keyword search, merged with Reciprocal Rank Fusion.
Remembers the conversation, so you can ask "and what about part-time staff?"
The PDF is read in your browser and never saved. Close the tab and it's gone.
Drag and drop on a computer, or upload from your phone. Light and dark mode.
Any business with documents people keep asking questions about.
Employees get instant answers about leave, pay and policies.
Answer customers from product manuals and FAQs, with sources.
Find the clause you need without reading 40 pages.
Ask questions about course books and training material.
Answer shoppers from product catalogs and shipping policies.
Pull key numbers and findings out of long reports.
Free tools only.
Who built this project, and how to work with me.
Software engineer ยท AI tools, RAG chatbots, Shopify and web apps
I build AI chatbots that answer from your own documents, website or product data. Want one like this for your business? I can set it up for you.