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 applicationsBuild knowledge graphs from unstructured dataUse vector embeddings for similarity searchCreate GraphRAG retrievers using PythonBuild 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 & Networking16:30 – Welcome & Kickoff: CODE University & Neo4j16:45 – Workshop Part I18:30 – Break18:45 – Workshop Part II19:30 – 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.