Receipts-first AIfor every study sprint
Verba ingests your PDFs, answers with cited receipts, and lets you manage docs, quizzes, and history in one place—built for hackathon judges who check the details.
What is Retrieval Augmented Generation?
RAG is a technique that enhances AI responses by retrieving relevant information from your documents before generating answers. It combines semantic search with generative AI.
Unmatched productivity
Verba is a document management and AI knowledge platform that provides
amazing learning opportunities for students and researchers alike.
LSTMs keep a memory cell and gate signals to handle long dependencies.
RAG-powered, citation-first
Every answer ships with receipts from your PDFs so judges see evidence instantly.
Document management
See uploads, chunk counts, and purge stale PDFs. Built-in search keeps judges oriented.
According to Module_3.pdf (p.5) and Lecture_notes.pdf (p.2), LSTMs mitigate vanishing gradients with a gated cell state.
Multi-document citations
Every message shows exactly which PDF and page were used. Judges can click sources to verify.
"What is the forget gate doing ?"
5 Qs auto-generated from PDF
Quiz, flashcards, exports
Generate quizzes, flashcards, and export chats as proof of learning—optimized for live demos.
Built with Cutting-Edge Tech
Enterprise-grade infrastructure for reliability and performance
How It Works
Get started in 3 simple steps
Upload Your Documents
Drag and drop PDFs, textbooks, research papers, or any study material. Verba automatically processes and indexes them.
Ask Questions
Type your questions naturally. Our RAG system searches through your documents and finds the most relevant information.
Get Cited Answers
Receive instant, accurate answers with citations showing exactly which document and page the information came from.
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Unlock the future of productivity with Verba. Remember, this journey is just getting started.