Global AI Berlin

​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