BoltVectorDemo.java

package com.falkordb;

import org.neo4j.driver.Driver;
import org.neo4j.driver.GraphDatabase;
import org.neo4j.driver.Result;
import org.neo4j.driver.Record;


public class BoltVectorDemo {
  public static void main(String args[]) {
    try (Driver driver = GraphDatabase.driver("bolt://localhost:7687")) {
      try (var session = driver.session()) {
				
        // Create Vector index on field description in Character
        session.run("CREATE VECTOR INDEX FOR (c:Character) ON (c.description) OPTIONS {dim:5, similarityFunction:'euclidean'}");
				
        // Fill in the Graph with some data on books and characters
        session.run("CREATE "
          + "(:Character {name:'Bastian Balthazar Bux', description:vector32f([0.1, 0.3, 0.3, 0.4, 0.7])})-[:in]->(book1:Book {name:'The Neverending Story'}), "
          + "(:Character {name:'Atreyu', description:vector32f([0.3, 0.6, 0.2, 0.1, 0.4])})-[:in]->(book1), "
          + "(:Character {name:'Jareth', description:vector32f([0.1, 0.3, 0.1, 0.2, 0.9])})-[:in]->(book2:Book {name:'Labyrinth'}), "
          + "(:Character {name:'Hoggle', description:vector32f([0.3, 0.2, 0.5, 0.7, 0.9])})-[:in]->(book2)");
				
        // Find the book with the character description that is most similar to the user's query
        Result result = session.run("CALL db.idx.vector.query("
          + "{type:'NODE', label:'Character', attribute:'description', query:vector32f([0.1, 0.4, 0.3, 0.2, 0.7]), k:1}) "
          + "YIELD entity "
          + "MATCH (c:Character)-[]->(b:Book) WHERE c = entity "
          + "RETURN b.name AS name");
				
        while (result.hasNext()) {
          Record record = result.next();
          System.out.println(record.get("name"));
        }
      }
    }
  }
}

Not sure how that example differs from https://gist.github.com/gkorland/f442f629e33cc81619dc9a813074e28d#file-falkordbvector-java

you're right, thanks it was C&P mistake. fixed.