ai-rete-RAG pairs a Rete rule engine with retrieval-augmented generation so a decision stays deterministic while the explanation stays grounded. Rules decide the what and produce an auditable trace; retrieval is invoked only to narrate the why in plain language from your own documents. Three composition patterns are live: rules as retrieval filters, documents asserted into working memory, and post-hoc explanation. Eight built-in demo domains include loan underwriting, fraud screening and clinical vitals, and the live demo needs no signup.
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Get a verdict plus the exact rules that fired and the ones that nearly did
Generate natural-language rationale cited back to your source documents
Let an assistant over MCP pull only the facts your rules actually need
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