Neo4j events

Join us to learn how to transform relational data into a graph model and load it into Neo4j using industry best practices. Design graph data models and import data into Neo4j You’ll leave with the skills to design scalable graph...

Join us for an exclusive, hands-on experience designed for developers, architects, and application owners looking to deepen their expertise in Neo4j’s powerful graph technology. This in-person workshop will deepen your expertise in integrating GraphRAG into GenAI solutions—ideal for building systems that prioritize...

This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work.

Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent...

Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent...

In this hands on workshop, you will learn how to use Neo4j together with Google Cloud Gemini Enterprise. Designed for data scientists and data engineers, the session walks through deploying both technologies within a Google Cloud environment.

Implement five research-backed techniques — GraphRAG retrieval, semantic tool selection, Executor-Validator-Critic multi-agent swarms, neurosymbolic guardrails, and agent steering — to fix hallucinations as structural problems rather than prompting issues. Work hands-on with live code and before-and-after metrics, leaving with working...

In this hands on workshop, you will learn how to use Neo4j together with Google Cloud Gemini Enterprise. Designed for data scientists and data engineers, the session walks through deploying both technologies within a Google Cloud environment. You will work with...

Build a lightweight knowledge layer over your existing documents and SQL data using three shapes in Neo4j: a Table of Contents (Trees) for document navigation, Themes (Communities) that surface unnamed patterns, and Connections (a Semantic Layer) linking structured entities and...