RAG that respects permissions, cites its sources, and doesn’t get poisoned by a bad document.
A basic RAG chatbot will happily retrieve the wrong document, ignore permissions, surface poisoned content, or answer confidently with no real source behind it. Enterprise knowledge deserves stronger guarantees — this platform enforces access control at the index and query level, verifies citations, and evaluates retrieval and generation quality continuously.
Permission-aware retrieval enforced at the index and query level
Hybrid keyword + vector retrieval with reranking for precision
Citation verification — answers are checked against their sources
Controlled detection for RAG-poisoning and retrieval-injection patterns
Tenant isolation with full ingestion and search observability
Designed and reviewed against all ten — see how I evaluate every architecture.
I design and ship systems like this one — from architecture through to production.
