Compare the two most popular graph data models to determine which structure best fits your specific data connectivity and metadata needs.

Modeling Relationships with Property Graphs and RDF

Master pattern-matching queries using the Cypher language and explore the new SQL:2023 standards for querying property graphs inside relational databases.

Querying Interconnected Data with Cypher and SQL/PGQ

Implement personalized discovery systems by leveraging multi-hop graph traversals and similarity algorithms like PageRank to identify user-item patterns.

Building Real-Time Recommendation Engines with Graph Algorithms

Solve the supernode problem and learn architectural patterns for sharding and partitioning graphs across high-availability cloud clusters.

Scaling Graph Databases for Massive Distributed Workloads

Improve LLM accuracy by using Knowledge Graphs to provide structured, verifiable context that reduces hallucinations in Retrieval-Augmented Generation workflows.

Enhancing RAG Pipelines with Knowledge Graphs

Learn to design and query high-performance data models focused on relationships and connectivity, essential for social networks and modern recommendation systems.