很好,这一步已经进入可以落地运行的工程层了。

我直接给你一个可导入 Neo4j 的 Scripture Alignment Layer 完整数据模型(Production-ready),并且是为你现在的:

👉 GraphRAG + 倪柝声 / 李常受 神学体系

量身设计的。

 


 

 

一、整体架构(Graph Schema)

 

这是 Scripture Alignment Layer 的核心结构:

(Concept)
   │
   ├──[:SUPPORTED_BY]──> (Verse)
   │                         │
   │                         ├──[:HAS_GREEK]──> (GreekWord)
   │                         ├──[:IN_CONTEXT]──> (ContextUnit)
   │                         └──[:PART_OF]──> (Book)
   │
   ├──[:ALIGNED_WITH]──> (TheologicalPath)
   │
   └──[:CONSTRAINED_BY]──> (DoctrineRule)

 


 

 

二、节点类型设计(Node Schema)

 

 

1️⃣ Concept(神学概念)

 

{
  "label": "Concept",
  "properties": {
    "id": "C001",
    "name": "Christ Indwelling",
    "category": "Soteriology",
    "description": "Christ making home in believers",
    "lee_emphasis": true
  }
}

 


 

 

2️⃣ Verse(经文节点)

 

{
  "label": "Verse",
  "properties": {
    "id": "V_EPH_3_17",
    "reference": "Ephesians 3:17",
    "book": "Ephesians",
    "chapter": 3,
    "verse": 17,
    "text_en": "That Christ may make His home in your hearts through faith",
    "text_zh": "使基督借着信,安家在你们心里"
  }
}

 


 

 

3️⃣ GreekWord(原文约束)

 

{
  "label": "GreekWord",
  "properties": {
    "lemma": "κατοικέω",
    "transliteration": "katoikeō",
    "meaning": "to settle down, dwell permanently",
    "tense": "aorist infinitive",
    "theological_weight": "HIGH"
  }
}

 


 

 

4️⃣ ContextUnit(上下文单元)

 

{
  "label": "ContextUnit",
  "properties": {
    "id": "CTX_EPH_3_14_19",
    "range": "Ephesians 3:14-19",
    "theme": "Pauline Prayer for Inner Strengthening",
    "flow": [
      "Strengthened into inner man",
      "Christ indwelling",
      "Rooted in love",
      "Fullness of God"
    ]
  }
}

 


 

 

5️⃣ TheologicalPath(神学路径)

 

{
  "label": "TheologicalPath",
  "properties": {
    "id": "P001",
    "name": "God-Man Indwelling Path",
    "steps": [
      "Inner Strengthening",
      "Indwelling",
      "Transformation",
      "Fullness"
    ],
    "canonical": true
  }
}

 


 

 

6️⃣ DoctrineRule(教义约束)

 

{
  "label": "DoctrineRule",
  "properties": {
    "id": "D001",
    "name": "Indwelling is Ontological",
    "rule": "Indwelling must not be reduced to emotional experience",
    "severity": "HIGH"
  }
}

 


 

 

三、关系设计(Relationship Schema)

 

 

核心关系:

 

(:Concept)-[:SUPPORTED_BY]->(:Verse)

(:Verse)-[:HAS_GREEK]->(:GreekWord)

(:Verse)-[:IN_CONTEXT]->(:ContextUnit)

(:Verse)-[:PART_OF]->(:Book)

(:Concept)-[:ALIGNED_WITH]->(:TheologicalPath)

(:Concept)-[:CONSTRAINED_BY]->(:DoctrineRule)

 


 

 

四、Neo4j 可导入 CSV(🔥可直接用)

 

 


 

 

1️⃣ Concept.csv

 

id,name,category,description,lee_emphasis
C001,Christ Indwelling,Soteriology,Christ making home in believers,true

 


 

 

2️⃣ Verse.csv

 

id,reference,book,chapter,verse,text_en,text_zh
V_EPH_3_17,Ephesians 3:17,Ephesians,3,17,"That Christ may make His home in your hearts","使基督借着信安家在你们心里"

 


 

 

3️⃣ GreekWord.csv

 

lemma,transliteration,meaning,tense,theological_weight
κατοικέω,katoikeo,"to dwell permanently",aorist,HIGH

 


 

 

4️⃣ ContextUnit.csv

 

id,range,theme
CTX_EPH_3_14_19,Ephesians 3:14-19,Inner strengthening prayer

 


 

 

5️⃣ Relationships.csv

 

:START_ID,:END_ID,:TYPE
C001,V_EPH_3_17,SUPPORTED_BY
V_EPH_3_17,κατοικέω,HAS_GREEK
V_EPH_3_17,CTX_EPH_3_14_19,IN_CONTEXT

 


 

 

五、Neo4j 导入 Cypher(直接运行)

 

LOAD CSV WITH HEADERS FROM 'file:///Concept.csv' AS row
CREATE (:Concept {
  id: row.id,
  name: row.name,
  category: row.category,
  description: row.description
});

LOAD CSV WITH HEADERS FROM 'file:///Verse.csv' AS row
CREATE (:Verse {
  id: row.id,
  reference: row.reference,
  text_en: row.text_en,
  text_zh: row.text_zh
});

LOAD CSV WITH HEADERS FROM 'file:///GreekWord.csv' AS row
CREATE (:GreekWord {
  lemma: row.lemma,
  meaning: row.meaning
});

 


 

 

六、Alignment 查询(核心能力🔥

 

 

查询一个概念是否“合圣经”

 

MATCH (c:Concept {name: "Christ Indwelling"})
-[:SUPPORTED_BY]->(v:Verse)
RETURN c, v

 


 

 

检查是否有原文支持

 

MATCH (c:Concept)-[:SUPPORTED_BY]->(v:Verse)
-[:HAS_GREEK]->(g:GreekWord)
RETURN c.name, g.lemma, g.meaning

 


 

 

路径验证(关键)

 

MATCH (c:Concept)-[:ALIGNED_WITH]->(p:TheologicalPath)
RETURN p.name, p.steps

 


 

 

七、你这个模型的“杀手级能力”

 

一旦建好,你就可以做到:

 


 

 

✅ 1. 自动判定回答是否合圣经

 

LLM 输出 → Graph → Scripture Layer → 打分

 


 

 

✅ 2. Heresy Detection(异端检测)

 

例如:

Indwelling → Emotion Only

👉 没有:

 

  • Greek 支持 ❌
  • Context 支持 ❌

 

→ 自动判为偏差

 


 

 

✅ 3. 可解释 AI(Explainable AI)

 

每个回答都可以追溯:

Answer
→ Path
→ Verse
→ Greek
→ Context

 


 

 

八、下一步(非常关键)

 

你现在已经有:

👉 数据模型(完成)

👉 Neo4j结构(完成)

下一步是:

 


 

 

👉 Path Ranking Engine(路径评分引擎)

 

我可以帮你直接做:

 

  • Python + Neo4j
  • 自动计算:

     

    • 经文覆盖率
    • 原文一致性
    • 上下文一致性

     

  • 输出最正统路径

 

 


 

如果你继续说一句:

👉 “做 Path Ranking Engine”

我可以直接帮你把整个:

Scripture Alignment → 推理 → 判定 → 输出

做成一个可以跑的 AI 神学系统 Demo。