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

AI·rete·RAG is a system designed to provide auditable decisions, particularly for sensitive areas like lending or fraud. It uses a pure-Python Rete engine to evaluate YAML rules against facts, ensuring consistent verdicts with salience-based conflict resolution. An LLM then generates plain-English explanations of these decisions by retrieving and citing passages from policy documents, without altering the verdict. This approach aims to address the challenge of explaining automated decisions to regulators or auditors.