Skip to content- Comprehensive knowledge of the Neo4j Graph Data Science Library
- Graph Data Science workflows
- Driver life cycle
- Installing and instantiation
- Read and write transactions
- Best practices
- Cypher patterns
- Reading data from a graph
- Writing data to a graph
- Graph data modeling fundamentals
- Creating graphs
- Graph Refactoring
- Importing CSV data into Neo4j
- Using LOAD CSV and Cypher
- Creating a data model
- Graph Data Science
- Graph projections
- Installation options
- GDS licensing
- Neo4j and Generative AI fundamentals
- Large Language Models
- Retrieval Augmented Generation (RAG)
- Using Neo4j with Langchain
- Graph theory
- Graph structures
- Elements of a graph database
- Reading and writing data in Neo4j
- Cypher patterns
- Graph Data Science
- Graph algorithms
- Machine learning pipelines
- GDS machine learning operations