Chat with your documents.
Get answers you can trust.
Axon is an AI-powered document intelligence workspace. Upload PDFs and text files, ask questions in plain English, and receive accurate answers backed by source citations and quality evaluation.
Document library
Revenue grew 18.4% quarter-over-quarter, driven primarily by enterprise renewals and a 12% increase in average contract value.
Trusted by teams who need answers, not guesses
Kartavya LabsKartavya LabsThe problem
Important information is buried in PDFs, reports, and notes. Searching manually is slow. Generic AI chat tools guess instead of reading your files. Teams need answers grounded in their own documents — with proof.
The solution
Axon lets you upload documents, index them automatically, and ask natural-language questions. Every answer is built from your uploaded content using retrieval-augmented generation (RAG), not guesswork.
How it works
From file to answer in three steps
Upload
Drop in PDF or TXT files. Axon extracts text, splits it into smart chunks, and indexes everything for search.
Ask
Type any question about your documents. Search across all files or focus on one document.
Get answers with proof
Receive a clear AI response, linked source excerpts, relevance scores, and an automatic quality evaluation.
Key features
Everything answers need to be trustworthy
Document upload and indexing
Support for PDF and TXT. Background processing with live status updates.
- PDF and TXT support
- Background processing
- Live status updates
- Automatic smart chunking
Context-aware answers
Powered by Llama 3 via Groq, with OpenRouter fallback for reliability.
- Semantic vector search
- Llama 3 via Groq
- OpenRouter fallback
- Source-linked citations
- RAG quality evaluation
Clean chat workspace
Simple, modern interface with document library, scoped search, and preview support.
- Document library view
- Scoped, single-doc search
- Inline document preview
- FastAPI + FAISS backend
Why Axon
Built to be trusted, not just used
Document-grounded by design
Every claim traces back to a page you uploaded.
Accurate
Answers come from your documents, not the open internet.
Transparent
Sources and evaluation scores on every response.
Fast
Optimized retrieval and LLM pipeline with latency tracking.
Reliable
Automatic fallback between AI providers.
Simple
Upload, ask, done. No complex setup for end users.
Who it's for
Built for anyone buried in documents
Students reviewing notes and research papers
Professionals searching resumes, reports, and contracts
Teams building a private document Q&A knowledge base
Developers exploring RAG architecture with a working full-stack example