Skip to content- Comprehensive knowledge of the Neo4j Graph Data Science Library
- Graph Data Science workflows
- Cypher patterns
- Reading data from a graph
- Writing data to a graph
- Graph data modeling fundamentals
- Creating graphs
- Graph Refactoring
- Importing data into Neo4j
- Import CSV files using the Neo4j Data Importer and Cypher
- Post-processing data after import
- Graph Data Science
- Graph projections
- Installation options
- GDS licensing
- Importing unstructured data into graphs
- Vector indexes
- Embedding data
- Chunking
- Using Neo4j with LangChain
- 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
- Shortest paths
- GDS algorithms
- Weighted/Unweighted relationships