Learning path
Generative AI & GraphRAG
Give your LLMs a knowledge graph memory. Build RAG pipelines that retrieve structured, contextual facts for more accurate, grounded answers.
The curriculum
10 courses, to complete.
A rhythm of deeper courses that teach concepts, and quicker labs that drill a single pattern.
10 Courses · 1–2 hours each
- 01Course2h
Neo4j & GenerativeAI Fundamentals
Start the course - 02Course1h
Introduction to Vector Indexes and Unstructured Data
Start the course - 03Course1h
Building Knowledge Graphs with LLMs
Start the course - 04Course2h
Constructing Knowledge Graphs with Neo4j GraphRAG for Python
Start the course - 05Course1h
Using Neo4j with LangChain
Start the course - 06Course2h
Building GraphRAG Python MCP tools
Start the course - 07Course2h
Building GraphRAG TypeScript MCP tools
Start the course - 08Course2h
Context Graphs: Agent Memory with Neo4j
Start the course - 09Course2h
Developing with Neo4j MCP Tools
Start the course - 10Course2h
Building Agents in Neo4j Aura
Start the course