Beyond the book: exploring resources for continued learning
While we have discussed, with simple examples, the importance of graph data modeling and looked at two specific graph data model examples, it would be prudent to understand how Neo4j helps in building better graphs and how its architecture can assist with building knowledge graphs in a scalable manner. Neo4j provides the following resources to learn more about Neo4j, knowledge graphs, and GraphRAG implementations:
- Neo4j Graph Academy: You can find Neo4j Graph Academy at https://graphacademy.neo4j.com/. This contains a wealth of resources to understand Neo4j concepts and build knowledge graphs. For example, the course at https://graphacademy.neo4j.com/courses/genai-workshop-graphrag/ provides an easy-to-follow workshop to understand GraphRAG principles.
- Neo4j GraphRAG Python package: Neo4j provides a simple-to-use GraphRAG Python package. You can read more about it at https://neo4j.com/docs/neo4j-graphrag...
