Show HN: AI·rete·RAG – a Rete rule engine decides, RAG explains why
Category: ai-ml
Tags: rule-engine, rag, auditability, explainable-ai, ret e-algorithm, mcp, yaml-rules
Score: 6.3/10 (Innovation: 7, Technical: 6, Documentation: 3, Utility: 6)
AI·rete·RAG combines a deterministic Rete rule engine with RAG-based LLM explanations to make automated decisions auditable, ensuring the verdict comes only from rules while the LLM justifies it with citations. It targets regulated domains like lending, fraud, and clinical triage where explainability is critical.
Target audience: backend devs, data engineers, compliance and audit teams, AI engineers
Repository: https://ai-rete-rag.com/
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