Building Applications with GraphRAG and Generative AI
Join us for a hands-on introduction to Generative AI with Neo4j with CODE University.
In this instructor-led workshop, participants will explore how graph databases can improve GenAI applications and reduce common challenges such as hallucinations. You’ll learn key concepts including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, vector search, knowledge graphs, and AI agents.
The workshop follows a mixed format with theoretical lessons combined with practical exercises while instructors are available to support and answer questions.
During the session, you will learn how to:
Use Neo4j to enhance GenAI applications
Build knowledge graphs from unstructured data
Use vector embeddings for similarity search
Create GraphRAG retrievers using Python
Build a conversational AI agent using Neo4j and LangChain
Prerequisites:
Basic knowledge of Neo4j, Cypher, and Python + your Laptop
You can already explore: https://graphacademy.neo4j.com/courses/neo4j-fundamentals/?category=beginners
Accounts needed:
Graph Academy and GitHub (for CodeSpaces)
Sign up on Graph Academy: https://graphacademy.neo4j.com/
Free drinks and swag included
Agenda
16:00 – Registration & Networking
16:30 – Welcome & Kickoff: CODE University & Neo4j
16:45 – Workshop Part I
18:30 – Break
18:45 – Workshop Part II
19:30 – Networking
Legal stuff
Neo4j Inc & CODE University. can send me updates and news about its products and services. I can unsubscribe anytime using the link in an email or by contacting Neo4j and CODE University - This event will be recorded (photo/video) for event recap and communications. If you prefer not to appear, please sit in the low-visibility seating in the back rows (no close-ups except from shots from behind); we cannot guarantee exclusion from wide crowd shots—if that’s not acceptable, please do not enter.