Building Applications with GraphRAG and Generative AI
Details
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
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## 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
