---
id: 20260923-T0-10
title: "AI·rete·RAG：用规则引擎做决策，RAG负责解释原因"
title_en: "AI·rete·RAG: Rete Rule Engine Decides, RAG Explains Why"
url: https://ai.daily.yangsir.net/daily/20260923-T0-10
issue_date: 2026-09-23
publish_date: 2026-09-22T16:15:06.000Z
category: tools
source_name: "HN AI 精选"
source_url: https://ai-rete-rag.com/
---

# AI·rete·RAG：用规则引擎做决策，RAG负责解释原因

开发者发布ai·rete·rag项目，解决团队在贷款、欺诈检测、临床分诊等需可审计决策场景中先让LLM决策再补护栏的问题。该方案将两者串联：先用纯Python Rete引擎对YAML规则和事实进行求值做出决策，再通过RAG生成解释。这样决策过程可审计、可追溯，同时保留自然语言解释能力。适合对合规性和可解释性有要求的AI应用开发者。

## English Version

**AI·rete·RAG: Rete Rule Engine Decides, RAG Explains Why**

A developer launched ai·rete·rag, addressing teams that put LLMs in charge of auditable decisions (lending, fraud, clinical triage) then bolt on guardrails. The project runs a pure-Python Rete engine evaluating YAML rules against facts first, then uses RAG to explain the decision. This makes decisions auditable and traceable while retaining natural-language explanations. Suited for developers building AI applications requiring compliance and explainability.

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**来源**：[HN AI 精选](https://ai-rete-rag.com/)

**详情页**：https://ai.daily.yangsir.net/daily/20260923-T0-10

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