Skip to content- Comprehensive knowledge of the Neo4j Graph Data Science Library
- Graph Data Science workflows
- Building a Neo4j-backed Chatbot
- Using Neo4j with Langchain
- Retrieval Augmented Generation (RAG)
- Driver life cycle
- Installing and instantiation
- Read and write transactions
- Best practices
- Cypher patterns
- Reading data from a graph
- Writing data to a graph
- Constraints
- Indexes
- Full-text indexes and search
- Index Management
- 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
- 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