Neo4j graph database for GraphRAG, install, Cypher, vectors, ops

Neo4j is what you reach for when the relationships are the data. If your domain looks like a whiteboard of circles and arrows, forcing it into tables is painful. Neo4j models that picture as a property graph and queries it with Cypher . This guide covers what Neo4j is used for , ACID behaviour , Neo4j vs Amazon Neptune vs TigerGraph (and peers), GraphRAG with vector indexes , local and production install paths, ports and neo4j.conf , and copy-paste Cypher and Python patterns. For broader context on data infrastructure choices, see the Data Infrastructure for AI Systems pillar. What is Neo4j used for in production graph workloads Neo4j is for connected data where you need to ask connected questions, repeatedly, under production constraints. That is the direct answer to what is Neo4j used for in most teams. Property graph data model with nodes, relationships, and properties Neo4j uses the property graph model: nodes represent entities, relationships connect nodes, and both can have prope