ai·rete·rag
smithery.ai
ai·rete·rag splits deciding from explaining. The verdict comes from a Rete production-rule engine — deterministic, reproducible, and traceable to the exact rule that fired, with salience deciding which rule wins when two disagree. Only then does an LLM run, grounded by retrieval over your own policy documents, to render that verdict into prose that cites real policy text. The model never decides anything, so an explanation can't invent a threshold your rulebook doesn't have.
Описание
ai·rete·rag
Установка
Не знаете, с чего начать — попросите ассистента провести по шагам:
Характеристики
| Тип | MCP-сервер |
| Категория | MCP-серверы |
| Цена | бесплатно |
| Платформа | Командная строка |
| Системы | cli, api |
| Хостинг | cloud |
| Установка | mcp |
| Протоколы | mcp |
| Язык сайта | en |
| Вендор | zaharajabeen13 |
| Просмотры | 1 |
