Neo4j 导入脚本 + GraphRAG 推理流程

 

Neo4j 导入脚本 + GraphRAG 推理流程

下面给你一份 可实际运行的原型级方案:

 

Neo4j 导入脚本 + GraphRAG 推理流程

 

(用于 Computational God-Man Economy System)

该方案把

Watchman Nee 与

Witness Lee

神学体系结构化为 Neo4j Knowledge Graph,再通过 GraphRAG 推理流程与 LLM 结合。

 


 

 

一、Neo4j Graph Schema(图谱结构)

 

 

节点类型

 

(:Doctrine)
(:Concept)
(:Process)
(:Experience)
(:ChurchReality)
(:Scripture)
(:Person)

 

关系类型

 

REVEALS
REALIZED_BY
PRODUCES
TRANSFORMS
BUILDS
EXPRESSES
CONSUMMATES
REFERENCED_IN
TAUGHT_BY

 


 

 

二、核心节点导入脚本

 

以下脚本可直接在 Neo4j Browser 中执行。

 

1 创建 Doctrine 节点

 

CREATE (:Doctrine {name:"Divine Economy"});
CREATE (:Doctrine {name:"Divine Dispensing"});
CREATE (:Doctrine {name:"Organic Salvation"});

 


 

 

2 创建 Concept 节点

 

CREATE (:Concept {name:"Triune God"});
CREATE (:Concept {name:"Divine Life"});
CREATE (:Concept {name:"Body of Christ"});
CREATE (:Concept {name:"New Jerusalem"});

 


 

 

3 创建 Process 节点

 

CREATE (:Process {name:"Regeneration"});
CREATE (:Process {name:"Sanctification"});
CREATE (:Process {name:"Transformation"});
CREATE (:Process {name:"Conformation"});
CREATE (:Process {name:"Glorification"});

 


 

 

4 创建 Church Reality

 

CREATE (:ChurchReality {name:"Church"});
CREATE (:ChurchReality {name:"Local Churches"});

 


 

 

5 创建 Scripture 节点

 

CREATE (:Scripture {ref:"Ephesians 1:10"});
CREATE (:Scripture {ref:"1 Timothy 1:4"});
CREATE (:Scripture {ref:"Ephesians 4:12"});

 


 

 

三、核心关系导入

 

 

God → Economy

 

MATCH (a:Concept {name:"Triune God"}), 
      (b:Doctrine {name:"Divine Economy"})
CREATE (a)-[:REVEALS]->(b);

 


 

 

Economy → Dispensing

 

MATCH (a:Doctrine {name:"Divine Economy"}), 
      (b:Doctrine {name:"Divine Dispensing"})
CREATE (a)-[:REALIZED_BY]->(b);

 


 

 

Dispensing → Life

 

MATCH (a:Doctrine {name:"Divine Dispensing"}), 
      (b:Concept {name:"Divine Life"})
CREATE (a)-[:PRODUCES]->(b);

 


 

 

Life → Transformation

 

MATCH (a:Concept {name:"Divine Life"}), 
      (b:Process {name:"Transformation"})
CREATE (a)-[:TRANSFORMS]->(b);

 


 

 

Transformation → Church

 

MATCH (a:Process {name:"Transformation"}), 
      (b:ChurchReality {name:"Church"})
CREATE (a)-[:BUILDS]->(b);

 


 

 

Church → Body of Christ

 

MATCH (a:ChurchReality {name:"Church"}), 
      (b:Concept {name:"Body of Christ"})
CREATE (a)-[:EXPRESSES]->(b);

 


 

 

Body → New Jerusalem

 

MATCH (a:Concept {name:"Body of Christ"}), 
      (b:Concept {name:"New Jerusalem"})
CREATE (a)-[:CONSUMMATES]->(b);

 


 

 

四、Scripture 连接

 

MATCH (a:Doctrine {name:"Divine Economy"}),
      (b:Scripture {ref:"Ephesians 1:10"})
CREATE (a)-[:REFERENCED_IN]->(b);
MATCH (a:Doctrine {name:"Divine Dispensing"}),
      (b:Scripture {ref:"1 Timothy 1:4"})
CREATE (a)-[:REFERENCED_IN]->(b);

 


 

 

五、Graph 查询示例

 

 

查询神人经纶主路径

 

MATCH p=(a:Concept {name:"Triune God"})-[*]->(b:Concept {name:"New Jerusalem"})
RETURN p

 


 

 

查询 Divine Economy 相关节点

 

MATCH (n)-[r]-(d:Doctrine {name:"Divine Economy"})
RETURN n,r

 


 

 

六、GraphRAG 推理流程

 

GraphRAG 不只是检索,而是 Graph + Text 推理。

整体流程:

User Query
     │
     ▼
Entity Recognition
     │
     ▼
Graph Node Mapping
     │
     ▼
Subgraph Expansion
     │
     ▼
Related Concepts
     │
     ▼
Text Retrieval
     │
     ▼
LLM Reasoning

 


 

 

七、GraphRAG 查询示例

 

用户问题:

什么是神的经纶?

 


 

 

Step 1:实体识别

 

系统识别:

Divine Economy

 


 

 

Step 2:Graph 查询

 

MATCH (d:Doctrine {name:"Divine Economy"})-[r*1..2]-(n)
RETURN d,r,n

得到:

Triune God
Divine Dispensing
Scripture

 


 

 

Step 3:Graph Expansion

 

系统生成:

Triune God
↓
Divine Economy
↓
Divine Dispensing
↓
Divine Life
↓
Church

 


 

 

Step 4:检索文本

 

用 Graph 节点作为检索关键词:

Divine Economy
Divine Dispensing
Divine Life

检索:

Life-study chunks
Ministry texts

 


 

 

八、Prompt 构建

 

最终 Prompt:

Question:
什么是神的经纶?

Text Evidence:
chunk_34
chunk_98

Doctrinal Structure:
Triune God → Divine Economy → Divine Dispensing → Divine Life → Church

Scripture:
Ephesians 1:10
1 Timothy 1:4

 


 

 

九、LLM 推理输出

 

LLM 结合:

 

  • Text evidence
  • Graph structure
  • Scripture

 

生成回答。

 


 

 

十、完整系统结构

 

最终系统:

Theological Corpus
      │
      ▼
Vector DB
      │
      ▼
Neo4j Graph
      │
      ▼
GraphRAG Engine
      │
      ▼
LLM

 


 

 

十一、下一步(如果继续推进)

 

这个原型可以升级为真正的研究级系统:

1️⃣ 300 节点 God-Man Economy Graph

2️⃣ Graph Reasoning Engine

3️⃣ Doctrine Consistency Validator

4️⃣ Scripture Alignment System

最终形成:

Computational Theology Engine

 


 

如果你愿意,我可以继续给你一份 非常关键的东西:

《God-Man Economy 300-Node Knowledge Graph 完整节点表》

那会是整个 神人经纶计算神学系统的核心蓝图。