Graph Databases: Modeling Complex Relationships
Comprehensive guide to graph databases, Neo4j, property graphs, and building connected data applications
Neo4j
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 for AI: Knowledge Graphs, Machine Learning, and RAG Pipelines
Leverage Neo4j for AI applications including knowledge graph construction, vector embeddings, GraphRAG pipelines, and machine learning feature engineering.
Neo4j Internals: Understanding the Graph Engine
Deep dive into Neo4j architecture: storage engine, property files, relationship traversal, indexes, caching, and query execution pipeline.
Neo4j Operations: Deployment, Configuration, and Management
Master Neo4j operations including installation, configuration, backup, recovery, monitoring, clustering, and production best practices.
Neo4j Trends 2025-2026: Graph Database Evolution
Explore the latest Neo4j developments including version 5.x features, GraphRAG, multi-database support, graph machine learning, and the evolving graph ecosystem.
Neo4j Use Cases: Production Applications Across Industries
Explore real-world Neo4j use cases including social networks, fraud detection, recommendation engines, network management, and knowledge graphs.
Graph Databases: Neo4j vs ArangoDB Performance
Complete guide to graph databases for relationship-heavy data. Learn Neo4j, ArangoDB, and graph query patterns with practical examples and performance optimization.