Architectural Comparison
Constitutional AI vs RAG
Two different approaches to preventing AI hallucination. Understanding the difference determines whether your enterprise AI is compliant — or just confident.
Hallucination PreventionEnterprise CompliancePDPA / GDPR
RAG (Retrieval-Augmented Generation)
- • Grounds responses in retrieved documents
- • Updates knowledge without retraining
- • Probabilistic safety — model may still ignore context
- • No audit trail for automated decisions
- • Grounded in retrieved text, but a model can still ignore it
Best for: knowledge-intensive retrieval tasks
Constitutional AI (FDIA Framework)
- • Mathematical constraints on system output
- • Deterministic kill switch (A=0 -> F=0, always)
- • Optional jury of independent models (scripted tests only)
- • Signed audit log you can hand to your own counsel
- • No hallucination reduction has been measured
Best for: regulated industries + compliance
RAG + Constitutional AI (Delentia OS)
- • Factual grounding AND structural safety constraints
- • No hallucination rate is claimed
- • Warm recall <50ms for repeated patterns
- • Complete PDPA audit trail from RCTDB
- • Architect gate mandatory for critical decisions
Best for: enterprise AI at scale
Feature Comparison Matrix
| Feature | RAG Only | Constitutional AI | Combined (Delentia) |
|---|---|---|---|
| Factual grounding via documents | |||
| Deterministic safety guarantee | |||
| Jury of independent models (optional) | |||
| PDPA/GDPR audit trail | |||
| Warm recall (<50ms) | |||
| Constitutional kill switch | |||
| Knowledge base updates without retraining | |||
| Shown to reduce wrong answers | |||
| Enterprise compliance evidence | |||
| Vendor-neutral (any LLM) |
Yes Partial No
Read the Full Deep-Dive
Complete architectural comparison with implementation examples