Beyond GenAI: Building Intelligent AI with Neo4j & RAG - Workshop

​This 2-hour workshop is for developers who want to start building real, grounded AI applications. You’ll learn how to use Neo4j as a retrieval engine for large language models, structuring data to improve relevance, context, and reasoning in AI workflows.

​Using Python and the neo4j-graph-rag library, we’ll walk through building Retrieval-Augmented Generation (RAG) pipelines that dynamically fetch the right data at the right time. You’ll implement retrieval techniques like vector search, hybrid search, and graph-native patterns to reduce hallucinations and boost accuracy.

​Finally, we’ll introduce an agentic layer, where AI agents don’t just retrieve information but reason over connected data using Neo4j. By the end of the session, you’ll have the skills to integrate LLMs and knowledge graphs into AI systems that are intelligent, explainable, and ready for real-world use.