Neo4j Agentic AI & GraphRAG Mini Hack

About this event

Join us for a hands-on mini hack focused on Agentic AI with Neo4j. In this workshop, you will explore how graph databases can improve GenAI applications and help reduce common challenges such as hallucinations in Agents & GenAI workflows. ​What you'll learn: ​Use Neo4j to enhance GenAI applications ​Work with MCP tools in a graph-based AI workflow ​Build knowledge graphs from unstructured data using Document Intelligence ​Explore how to add memory to agents using Neo4j Agent Memory Service, a graph-native memory layer for LLM agents that supports short-term conversations, long-term knowledge, reasoning traces, and native vector search ​Build a small prototype and showcase your learning at the Mini Hack ​You'll learn key concepts including Large Language Models, Retrieval-Augmented Generation, GraphRAG, vector search, knowledge graphs, MCP tools, and AI agents. ​Prerequisites: Participants should have basic knowledge of Neo4j, Cypher, and Python. You can get started with the Neo4j Fundamentals course: https://graphacademy.neo4j.com/courses/neo4j-fundamentals/?category=beginners