diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc
index 4396dbfd9..c8048d7a4 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc
@@ -13,7 +13,7 @@ Those indexes are powered by Lucene using a Hierarchical Navigable Small World G
 
 == Prerequisites
 
-* A running Neo4j (5.13+) instance. The following options are available:
+* A running Neo4j (5.15+) instance. The following options are available:
 ** link:https://hub.docker.com/_/neo4j[Docker] image
 ** link:https://neo4j.com/download/[Neo4j Desktop]
 ** link:https://neo4j.com/cloud/aura-free/[Neo4j Aura]
diff --git a/spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfigurationIT.java b/spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfigurationIT.java
index d42b3e005..b81f35e80 100644
--- a/spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfigurationIT.java
+++ b/spring-ai-spring-boot-autoconfigure/src/test/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfigurationIT.java
@@ -45,10 +45,10 @@ import static org.assertj.core.api.Assertions.assertThat;
 @Testcontainers
 public class Neo4jVectorStoreAutoConfigurationIT {
 
-	// Needs to be Neo4j 5.13+, because Neo4j 5.13 deprecated the used embedding storing
+	// Needs to be Neo4j 5.15+, because Neo4j 5.15 deprecated the used embedding storing
 	// function.
 	@Container
-	static Neo4jContainer<?> neo4jContainer = new Neo4jContainer<>(DockerImageName.parse("neo4j:5.14"))
+	static Neo4jContainer<?> neo4jContainer = new Neo4jContainer<>(DockerImageName.parse("neo4j:5.15"))
 		.withRandomPassword();
 
 	List<Document> documents = List.of(
diff --git a/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/Neo4jVectorStore.java b/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/Neo4jVectorStore.java
index bd503306b..6515c551b 100644
--- a/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/Neo4jVectorStore.java
+++ b/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/Neo4jVectorStore.java
@@ -311,26 +311,21 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 		try (var session = this.driver.session(this.config.sessionConfig)) {
 
 			session
-				.run("CREATE CONSTRAINT %s_unique_idx IF NOT EXISTS FOR (n:%s) REQUIRE n.id IS UNIQUE".formatted(
+				.run("CREATE CONSTRAINT %s IF NOT EXISTS FOR (n:%s) REQUIRE n.id IS UNIQUE".formatted(
 						SchemaNames.sanitize(this.config.label + "_unique_idx").orElseThrow(), this.config.quotedLabel))
 				.consume();
 
-			var vectorIndexExists = session
-				.run("SHOW INDEXES YIELD name WHERE name = $name RETURN count(*) > 0",
-						Map.of("name", this.config.indexName))
-				.single()
-				.get(0)
-				.asBoolean();
-
-			if (!vectorIndexExists) {
-				var statement = "CALL db.index.vector.createNodeIndex($indexName, $label, $embeddingProperty, $embeddingDimension, $distanceType)";
-				session.run(statement,
-						Map.of("indexName", this.config.indexName, "label", this.config.label, "embeddingProperty",
-								this.config.embeddingProperty, "embeddingDimension", this.config.embeddingDimension,
-								"distanceType", this.config.distanceType.name))
-					.consume();
-				session.run("CALL db.awaitIndexes()").consume();
-			}
+			var statement = """
+					CREATE VECTOR INDEX %s IF NOT EXISTS FOR (n:%s) ON (n.%s)
+							OPTIONS {indexConfig: {
+							 `vector.dimensions`: %d,
+							 `vector.similarity_function`: '%s'
+							}}
+					""".formatted(SchemaNames.sanitize(this.config.indexName, true).orElseThrow(),
+					this.config.quotedLabel, this.config.embeddingProperty, this.config.embeddingDimension,
+					this.config.distanceType.name);
+			session.run(statement).consume();
+			session.run("CALL db.awaitIndexes()").consume();
 		}
 	}
 
diff --git a/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/Neo4jVectorStoreIT.java b/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/Neo4jVectorStoreIT.java
index cd61c0d37..940db8579 100644
--- a/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/Neo4jVectorStoreIT.java
+++ b/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/Neo4jVectorStoreIT.java
@@ -39,10 +39,11 @@ import static org.assertj.core.api.Assertions.assertThat;
 @EnabledIfEnvironmentVariable(named = "OPENAI_API_KEY", matches = ".+")
 class Neo4jVectorStoreIT {
 
-	// Needs to be Neo4j 5.13+, because Neo4j 5.13 deprecated the used embedding storing
+	// Needs to be Neo4j 5.15+, because Neo4j 5.15 deprecated the old vector index
+	// creation
 	// function.
 	@Container
-	static Neo4jContainer<?> neo4jContainer = new Neo4jContainer<>(DockerImageName.parse("neo4j:5.14"))
+	static Neo4jContainer<?> neo4jContainer = new Neo4jContainer<>(DockerImageName.parse("neo4j:5.15"))
 		.withRandomPassword();
 
 	List<Document> documents = List.of(