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Neo4j & GenerativeAI Fundamentals
Course · Part of Build a Neo4j-backed Application
Neo4j & GenerativeAI Fundamentals
15 lessons across 4 modules
Generative AI & GraphRAG
GenAI
Intermediate
Context Engineer
Build a Neo4j-backed Application
Development
About this course
In this course, you will learn
Generative AI Fundamentals
Large Language Models
RAG
GraphRag
Integrating Neo4j with Generative AI
Course content
4 modules,
15 lessons
.
01
Generative AI
3 lessons
1.1
What is Generative AI
1.2
Considerations
1.3
Context
02
Retrieval Augmented Generation (RAG)
4 lessons
2.1
What is RAG?
2.2
Vector RAG
2.3
Vector Indexes
2.4
GraphRAG
03
Knowledge Graphs
2 lessons
3.1
What is a Knowledge Graph
3.2
Creating Knowledge Graphs
04
Integrating Neo4j with Generative AI
6 lessons
4.1
GraphRAG for Python
4.2
Vector Retriever
4.3
RAG Pipeline
4.4
Graph-Enhanced Vector Retriever
4.5
Text to Cypher Retriever
4.6
GenAI Frameworks
Where to next
Keep going on
Build a Neo4j-backed Application
.
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Using Neo4j with LangChain
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Using Neo4j with LangChain.js
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Later in path
Using Neo4j with LlamaIndex
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