Turn your private documents into a secure AI-powered knowledge experience — without ever sending them to the public cloud.
Law firms, enterprises, and privacy-sensitive organizations have thousands of documents — but no way to ask AI questions about them without risking data exposure.
Uploading client documents to ChatGPT, Google, or Copilot means your data is processed on servers you don't control — potentially violating privacy laws.
GDPR (EU), RA 10173 (Philippines), attorney-client privilege — your industry has strict rules about where data lives and who accesses it.
Traditional "Ctrl+F" or file search can't understand context. You need AI that reads, understands, and answers — grounded only on your data.
OpenRAG is a private AI system that sits on your server, reads your documents, and answers questions — citing the exact source for every answer. No data ever leaves your control.
Upload PDFs, Word docs, images, audio files — 19 formats supported. OpenRAG reads and understands them all.
Ask questions in plain English. "What's our policy on X?" or "Find all clauses about liability in the NXP contract."
AI answers are grounded in your documents. Every answer links back to the exact page and file it came from.
Supported file types:
OpenRAG isn't an all-or-nothing enterprise project. Start with a demo on a single server, then upgrade when you're ready.
Prove value in 2 weeks on a single server
Secure deployment for 5-20 users
Full team with auth, audit & compliance
Multi-tenant, HA, disaster recovery
Every organization is different. Pick the level that matches your needs, team size, and compliance requirements.
Demonstrate value in 2–4 weeks
Best for: pilot projects, demos, evaluations
For teams of 5–50 users
Best for: law firms, clinics, finance teams
For 50–500+ users
Best for: enterprises, multi-office orgs, regulated industries
| Level 1 — PoC | Level 2 — Secured | Level 3 — Enterprise | |
|---|---|---|---|
| Users | 1–5 | 5–50 | 50–500+ |
| Authentication | Network-only | SSO / OIDC | SSO + MFA |
| Access Control | None | Role-based (RBAC) | Document-level ACLs |
| Audit Trail | Basic logs | Full audit log | Tamper-proof + SIEM |
| Encryption | In transit | At rest + in transit | Full + key management |
| Backup | Manual | Daily encrypted | Geo-redundant + DR |
| AI Location | Cloud (with DPA) | Cloud or local | Fully local option |
| Hosting | 1 server | 1–2 servers | Kubernetes cluster |
| Cost / month | €40–85 | €700–1,500 | €2,600–8,000 |
| Deployment Time | 1–2 weeks | 4–6 weeks | 8–16 weeks |
| Best For | Demos, pilots | Small firms, teams | Enterprises, regulated |
Public AI tools are powerful — but they're not built for privacy-sensitive data.
OpenRAG's architecture is designed to meet privacy regulations in both the Philippines and the European Union.
Search case files, contracts, legal memos. Ask "What precedents apply to this clause?"
Search medical records, policies, compliance documents. "What's our protocol for X?"
Search risk assessments, audit reports, regulatory filings. All private.
Search product specs, datasheets, errata. "What's the max voltage for part X?"
Internal policy search, citizen inquiry handling, document intelligence for public servants.
Research paper search, curriculum Q&A, institutional knowledge management.
Start with a Level 1 proof of concept — see results in two weeks, no long-term commitment required.