diff --git a/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfiguration.java b/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfiguration.java
index 5d3d114c145..47be9532ac8 100644
--- a/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfiguration.java
+++ b/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreAutoConfiguration.java
@@ -64,7 +64,8 @@ public Neo4jVectorStore vectorStore(Driver driver, EmbeddingModel embeddingModel
 			.customObservationConvention(customObservationConvention.getIfAvailable(() -> null))
 			.batchingStrategy(batchingStrategy)
 			.databaseName(properties.getDatabaseName())
-			.embeddingDimension(properties.getEmbeddingDimension())
+			.embeddingDimension(properties.getEmbeddingDimension() != null ? properties.getEmbeddingDimension()
+					: embeddingModel.dimensions())
 			.distanceType(properties.getDistanceType())
 			.label(properties.getLabel())
 			.embeddingProperty(properties.getEmbeddingProperty())
diff --git a/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreProperties.java b/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreProperties.java
index 52606c754b1..72dcd1d176c 100644
--- a/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreProperties.java
+++ b/spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/vectorstore/neo4j/Neo4jVectorStoreProperties.java
@@ -33,7 +33,7 @@ public class Neo4jVectorStoreProperties extends CommonVectorStoreProperties {
 
 	private String databaseName;
 
-	private int embeddingDimension = Neo4jVectorStore.DEFAULT_EMBEDDING_DIMENSION;
+	private Integer embeddingDimension;
 
 	private Neo4jVectorStore.Neo4jDistanceType distanceType = Neo4jVectorStore.Neo4jDistanceType.COSINE;
 
@@ -55,7 +55,7 @@ public void setDatabaseName(String databaseName) {
 		this.databaseName = databaseName;
 	}
 
-	public int getEmbeddingDimension() {
+	public Integer getEmbeddingDimension() {
 		return this.embeddingDimension;
 	}
 
diff --git a/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStore.java b/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStore.java
index c9b915f686d..82fb37363e4 100644
--- a/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStore.java
+++ b/vector-stores/spring-ai-neo4j-store/src/main/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStore.java
@@ -133,6 +133,7 @@
  */
 public class Neo4jVectorStore extends AbstractObservationVectorStore implements InitializingBean {
 
+	@Deprecated(forRemoval = true)
 	public static final int DEFAULT_EMBEDDING_DIMENSION = 1536;
 
 	public static final int DEFAULT_TRANSACTION_SIZE = 10_000;
@@ -182,7 +183,7 @@ protected Neo4jVectorStore(Builder builder) {
 
 		this.driver = builder.driver;
 		this.sessionConfig = builder.sessionConfig;
-		this.embeddingDimension = builder.embeddingDimension;
+		this.embeddingDimension = builder.embeddingDimension.orElseGet(() -> builder.getEmbeddingModel().dimensions());
 		this.distanceType = builder.distanceType;
 		this.embeddingProperty = SchemaNames.sanitize(builder.embeddingProperty).orElseThrow();
 		this.label = SchemaNames.sanitize(builder.label).orElseThrow();
@@ -372,7 +373,7 @@ public static class Builder extends AbstractVectorStoreBuilder<Builder> {
 
 		private SessionConfig sessionConfig = SessionConfig.defaultConfig();
 
-		private int embeddingDimension = DEFAULT_EMBEDDING_DIMENSION;
+		private Optional<Integer> embeddingDimension = Optional.empty();
 
 		private Neo4jDistanceType distanceType = Neo4jDistanceType.COSINE;
 
@@ -425,7 +426,7 @@ public Builder sessionConfig(SessionConfig sessionConfig) {
 		 */
 		public Builder embeddingDimension(int dimension) {
 			Assert.isTrue(dimension >= 1, "Dimension has to be positive");
-			this.embeddingDimension = dimension;
+			this.embeddingDimension = Optional.of(dimension);
 			return this;
 		}
 
diff --git a/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStoreIT.java b/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStoreIT.java
index 5260b34f930..a10d0f19dee 100644
--- a/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStoreIT.java
+++ b/vector-stores/spring-ai-neo4j-store/src/test/java/org/springframework/ai/vectorstore/neo4j/Neo4jVectorStoreIT.java
@@ -28,6 +28,7 @@
 import org.neo4j.driver.AuthTokens;
 import org.neo4j.driver.Driver;
 import org.neo4j.driver.GraphDatabase;
+import org.springframework.context.annotation.Primary;
 import org.testcontainers.containers.Neo4jContainer;
 import org.testcontainers.junit.jupiter.Container;
 import org.testcontainers.junit.jupiter.Testcontainers;
@@ -301,16 +302,43 @@ void ensureIdIndexGetsCreated() {
 			.isTrue());
 	}
 
+	@Test
+	void vectorIndexDimensionsDefaultAndOverwriteWorks() {
+		this.contextRunner.run(context -> {
+			var result = context.getBean(Driver.class)
+				.executableQuery(
+						"SHOW VECTOR INDEXES yield name, options return name, options['indexConfig']['vector.dimensions'] as dimensions")
+				.execute()
+				.records()
+				.stream()
+				.map(r -> r.get("name").asString() + r.get("dimensions").asInt())
+				.toList();
+			assertThat(result).containsExactlyInAnyOrder("secondIndex123", "spring-ai-document-index1536");
+		});
+	}
+
 	@SpringBootConfiguration
 	@EnableAutoConfiguration(exclude = { DataSourceAutoConfiguration.class })
 	public static class TestApplication {
 
 		@Bean
+		@Primary
 		public VectorStore vectorStore(Driver driver, EmbeddingModel embeddingModel) {
 
 			return Neo4jVectorStore.builder(driver, embeddingModel).initializeSchema(true).build();
 		}
 
+		@Bean
+		public VectorStore vectorStoreWithCustomDimension(Driver driver, EmbeddingModel embeddingModel) {
+
+			return Neo4jVectorStore.builder(driver, embeddingModel)
+				.initializeSchema(true)
+				.indexName("secondIndex")
+				.embeddingProperty("somethingElse")
+				.embeddingDimension(123)
+				.build();
+		}
+
 		@Bean
 		public Driver driver() {
 			return GraphDatabase.driver(neo4jContainer.getBoltUrl(),