Read-only instant demo · No signup · No uploads

Quantum-ArchiveMaster

Search and ask questions across a curated archive of corporate documents. This public demo shows the core experience. The full product runs privately on your infrastructure with upload, folder import, wiki, and local models.

Try: What is the invoice total including VAT? or What is the remote work policy?
Search

Enterprise-ready retrieval

Quick document discovery over pre-extracted chunks. Results link directly to the source PDF.

Q&A

Grounded answers with sources

The assistant answers using only retrieved passages and returns citations for verification.

Insights

Usage analytics

Monthly counters and 12-month trend lines so you can see search and Q&A activity at a glance.

On-prem product

How the full Quantum-ArchiveMaster works

This demo is read-only. In a private deployment, teams follow this flow end to end—files stay inside your security boundary.

  1. Upload or import

    Add single files, or connect a folder for bulk import with progress, pause, and resume.

  2. Extract & index

    Text is extracted (OCR for scans) and indexed so search finds content—not only filenames.

  3. Browse the archive

    Open the document library, download originals, and track processing status per file.

  4. Wiki summaries

    Background jobs generate document wiki pages (ready / pending / failed) for faster skimming.

  5. Search & Archive Q&A

    Find passages by keyword, then ask grounded questions with citations and source links.

  6. Analytics

    Track uploads, searches, and LLM queries by day, week, or month for operational visibility.

What's in this demo

A small mixed archive (HR, finance, IT) to showcase realistic search and Q&A.

  • HR policy & CV
  • Invoice & purchase order
  • Incident report & SOP
  • Architecture note
Demo vs on-prem
Cloud demo: OpenAI Q&A, sample PDFs, no signup, no uploads.

On-prem: local models (Ollama), OCR, upload & folder import, document wiki, multi-user access, and compliance-friendly hosting.