The text discusses exploring the newly-released Java 17 version using a graph database. The author, a Developer Relations Engineer at Neo4j, uses a JDK data set that details historical library changes of Java versions to create a graph model and perform queries to analyze the changes between Java 16 and Java 17. The graph model represents Java versions as entities with diffs, forming a tree-like structure when visualized. The author creates Cypher statements to import the data into Neo4j and runs queries to find changes in specific packages, such as java.time, and to identify new features and functionality added in Java 17. The analysis provides insights into the changes made in Java 17 and offers opportunities for further exploration, including modeling alternative approaches and building a Spring Data Neo4j application.