Is it compatible with Neo4j 5?

Yes, the skill includes specific configuration examples for the Neo4j 5 Cypher-DSL dialect and modern driver settings.

How does it handle relationship mapping?

It covers bidirectional and unidirectional relationships using the @Relationship annotation, including direction and type specifications.

Does this skill support reactive programming?

Yes, it includes comprehensive implementation patterns for ReactiveNeo4jRepository and non-blocking database operations.

Can I use custom Cypher queries with this skill?

Absolutely, it provides patterns for using the @Query annotation to execute complex graph traversals and custom logic.

Does it help with integration testing?

Yes, it includes setup guides for using Neo4j Harness to run integration tests against an embedded or in-process database server.

Spring Data Neo4j Integration

Name: Spring Data Neo4j Integration
Author: pur3v4d3r

bypur3v4d3r

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Database Management

Streamlines graph database development by implementing Spring Data Neo4j patterns for node entities, relationships, and Cypher queries.

About

This skill provides specialized expertise for integrating Neo4j graph databases into Spring Boot applications using the Spring Data Neo4j abstraction. It guides developers through entity mapping for nodes and relationships, the creation of imperative and reactive repositories, and the development of custom Cypher queries. Whether you are building a recommendation engine, social network, or knowledge graph, this skill ensures your implementation follows industry best practices for performance, maintainability, and testing using tools like Neo4j Harness.

Key Features

Automated node and relationship entity mapping
Configuration templates for Neo4j 5 and Cypher-DSL dialects
Dual support for Imperative and Reactive Neo4j repositories
1 GitHub stars
Integrated Neo4j Harness integration testing strategies
Cypher query optimization with @Query and derived methods

Use Cases

Modeling complex social networks or organizational hierarchies
Implementing real-time recommendation engines in Spring Boot
Building fraud detection systems with highly interconnected data

About

Key Features

Automated node and relationship entity mapping
Configuration templates for Neo4j 5 and Cypher-DSL dialects
Dual support for Imperative and Reactive Neo4j repositories
1 GitHub stars
Integrated Neo4j Harness integration testing strategies
Cypher query optimization with @Query and derived methods

Use Cases

Modeling complex social networks or organizational hierarchies
Implementing real-time recommendation engines in Spring Boot
Building fraud detection systems with highly interconnected data