Creating and Using Full-text Indexes
A full-text index is designed for queries that need to search string propertiesA named value stored on a node or a relationship. using possibly complex search predicates. It can also be created to index multiple properties in multiple nodeA vertex in a graph. In a property graph it can carry labels and properties. labelsA tag on a node that groups it with other nodes of the same kind. A node can carry more than one. or relationshipA named, directed connection between two nodes. Every relationship has a type, a start node and an end node. types.
In many cases, a full-text index will help improve the performance of queries where the predicates test complex patterns in string properties. For example:
Join GraphAcademy to keep learning
Create your account to unlock 80+ hours of hands-on Neo4j courses, track your progress, and earn a certificate when you complete the course.
Sign in or register