Neo4j Basics: Getting Started with Graph Databases
Learn the fundamentals of Neo4j including nodes, relationships, labels, properties, and Cypher query language for graph data modeling.
Neo4j tutorials covering graph database fundamentals, Cypher queries, operations, architecture, trends, AI integration, and production use cases.
Neo4j is the world’s leading graph database, designed to handle highly connected data with exceptional performance. Unlike traditional relational databases that organize data in tables, Neo4j represents data as nodes and relationships, making it ideal for social networks, recommendation engines, fraud detection, and knowledge graphs.
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Learn the fundamentals of Neo4j including nodes, relationships, labels, properties, and Cypher query language for graph data modeling.
Leverage Neo4j for AI applications including knowledge graph construction, vector embeddings, GraphRAG pipelines, and machine learning feature engineering.
Deep dive into Neo4j architecture: storage engine, property files, relationship traversal, indexes, caching, and query execution pipeline.
Master Neo4j operations including installation, configuration, backup, recovery, monitoring, clustering, and production best practices.
Explore the latest Neo4j developments including version 5.x features, GraphRAG, multi-database support, graph machine learning, and the evolving graph ecosystem.
Explore real-world Neo4j use cases including social networks, fraud detection, recommendation engines, network management, and knowledge graphs.