Show HN: AI·rete·RAG – a Rete rule engine decides, RAG explains why

AI·rete·RAG combines deterministic rule-based decisioning with retrieval-augmented generation to explain outcomes in plain language, which could make automated decisions more transparent, auditable, and easier to govern. For CIOs and technology leaders, the strategic value is in reducing black-box AI risk while preserving operational consistency—especially in compliance-heavy, customer-facing, or high-stakes workflows where IT must balance automation with explainability. IT organizations should see this as a pattern for pairing trusted business rules with AI-generated narratives, enabling faster adoption of intelligent systems without sacrificing control, traceability, or stakeholder confidence.