AskDocuMind API
Ask your documents anything
Upload a document, ask a question, and get an answer grounded in its content, with sources cited, not a guess.
Buried in documents, searching for one fact?
Long documents hide the one detail you need, and manual searching burns time you don't have.
Reports, papers, and manuals pile up fast, and the answer you need is often buried somewhere in the middle of fifty pages you don't have time to read.
Every time a question comes up, you're back in the same document, rereading pages you've already been through just to confirm a detail you half-remember.
Ctrl+F only works if you guess the exact wording used in the document, so you end up scanning page by page hoping to spot the right paragraph.
What AskDocuMind does
AskDocuMind is a document-aware chatbot API built with Python, LangChain, and pgvector. You upload a file, ask a question in plain language, and the system retrieves the relevant passages and answers from them. Every response names the document it pulled from, so you can verify the answer instead of just trusting it.
Who this is for
Developers evaluating a document-QA API before building on it
Students and researchers digging through long research papers
Anyone tired of rereading a document to find one fact
How it works
Upload
Add a PDF, DOCX, TXT, or Markdown file.
Process
Your document is chunked and embedded.
Ask
Ask questions about it in natural language.
Get Answers
Receive grounded, cited responses.
Built with
Curious how it works under the hood?
View the architectureWhy it matters
Grounded answers
Responses trace back to your document, not a hallucination.
Fast
Skip the manual searching and skimming.
Session-based & private
Documents aren't kept around forever.
Open source
The full implementation is on GitHub.
Multi-format support
Upload PDFs, DOCX, TXT, Markdown, HTML, or CSV files.
Easy integration
A simple REST API that drops into any application.
Ready to try it?
Upload a document and see AskDocuMind answer real questions about it.