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Add graphrag-neo4j module: structured-output entity and relation extraction into a typed Neo4j graph with a vector index, multi-hop retrieval by span linking and variable-length Cypher paths, compared with plain vector RAG over the same 35 chunks and 9 questions (complete evidence 7/9 vs 5/9 at k=8); Testcontainers on neo4j:2026.10.1 and 5.26. The extraction step is a rule-based stand-in, not a language model.

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Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01CifR2BE7PBvRy5hT8TS9oz
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asmhatre
2026-10-26 02:03:40 +00:00
co-authored by Claude Sonnet 5.5
parent 279be7eb9f
commit 108fc44542
66 changed files with 1997 additions and 0 deletions
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graphrag-neo4j/pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>4.1.2</version>
<relativePath/>
</parent>
<groupId>com.ankurm</groupId>
<artifactId>graphrag-neo4j</artifactId>
<version>1.0.0</version>
<name>graphrag-neo4j</name>
<description>GraphRAG on Spring AI 2.0 and Neo4j: structured-output entity and relation extraction, a knowledge graph with a vector index, multi-hop retrieval in Cypher, compared with plain vector RAG over the same corpus.</description>
<properties>
<java.version>25</java.version>
<spring-ai.version>2.0.2</spring-ai.version>
</properties>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>${spring-ai.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<!-- ChatClient, BeanOutputConverter, ChatModel (core). -->
<dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-client-chat</artifactId></dependency>
<!-- Store module, not the starter: the store is built by hand so every setting is visible. -->
<dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-neo4j-store</artifactId></dependency>
<!-- all-MiniLM-L6-v2 in-process through ONNX Runtime: a real embedding model, no API key. -->
<dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-transformers</artifactId></dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.testcontainers</groupId>
<artifactId>testcontainers-neo4j</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.testcontainers</groupId>
<artifactId>testcontainers-junit-jupiter</artifactId>
<scope>test</scope>
</dependency>
<!-- Testcontainers 2.x reads its configuration through commons-lang3 but does not bring it in: without this
the first `new Neo4jContainer(...)` fails with NoClassDefFoundError. -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<configuration>
<argLine>-Duser.timezone=UTC -Dstdout.encoding=UTF-8 -Dfile.encoding=UTF-8 -Xmx3g</argLine>
</configuration>
</plugin>
</plugins>
</build>
</project>