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 60ababd29..b412530bc 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
@@ -56,6 +56,7 @@ public class Neo4jVectorStoreAutoConfiguration {
 			.withDistanceType(properties.getDistanceType())
 			.withLabel(properties.getLabel())
 			.withEmbeddingProperty(properties.getEmbeddingProperty())
+			.withIndexName(properties.getIndexName())
 			.build();
 
 		return new Neo4jVectorStore(driver, embeddingClient, config);
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 29c11ee02..1ff83eeb8 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
@@ -37,6 +37,8 @@ public class Neo4jVectorStoreProperties {
 
 	private String embeddingProperty = Neo4jVectorStore.DEFAULT_EMBEDDING_PROPERTY;
 
+	private String indexName = Neo4jVectorStore.DEFAULT_INDEX_NAME;
+
 	public String getDatabaseName() {
 		return databaseName;
 	}
@@ -77,4 +79,12 @@ public class Neo4jVectorStoreProperties {
 		this.embeddingProperty = embeddingProperty;
 	}
 
+	public String getIndexName() {
+		return this.indexName;
+	}
+
+	public void setIndexName(String indexName) {
+		this.indexName = indexName;
+	}
+
 }
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 cfe683f67..23393a859 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
@@ -66,11 +66,13 @@ public class Neo4jVectorStoreAutoConfigurationIT {
 	void addAndSearch() {
 		contextRunner
 			.withPropertyValues("spring.ai.vectorstore.neo4j.label=my_test_label",
-					"spring.ai.vectorstore.neo4j.embeddingDimension=384")
+					"spring.ai.vectorstore.neo4j.embeddingDimension=384",
+					"spring.ai.vectorstore.neo4j.indexName=customIndexName")
 			.run(context -> {
 				var properties = context.getBean(Neo4jVectorStoreProperties.class);
 				assertThat(properties.getLabel()).isEqualTo("my_test_label");
 				assertThat(properties.getEmbeddingDimension()).isEqualTo(384);
+				assertThat(properties.getIndexName()).isEqualTo("customIndexName");
 
 				VectorStore vectorStore = context.getBean(VectorStore.class);
 				vectorStore.add(documents);
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 633b2b4c5..d284fb84b 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
@@ -69,6 +69,8 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 
 		private final String quotedLabel;
 
+		private final String indexName;
+
 		/**
 		 * Start building a new configuration.
 		 * @return The entry point for creating a new configuration.
@@ -97,6 +99,7 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 			this.label = builder.label;
 			this.embeddingProperty = builder.embeddingProperty;
 			this.quotedLabel = SchemaNames.sanitize(this.label).orElseThrow();
+			this.indexName = builder.indexName;
 		}
 
 		public static class Builder {
@@ -111,6 +114,8 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 
 			private String embeddingProperty = DEFAULT_EMBEDDING_PROPERTY;
 
+			private String indexName = DEFAULT_INDEX_NAME;
+
 			private Builder() {
 			}
 
@@ -182,6 +187,21 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 				return this;
 			}
 
+			/**
+			 * Configures the vector index to be used. Defaults to
+			 * {@literal spring-ai-document-index}.
+			 * @param newIndexName The name of the index to be used for storing and
+			 * searching data.
+			 * @return this builder
+			 */
+			public Builder withIndexName(String newIndexName) {
+
+				Assert.hasText(newIndexName, "Index name may not be null or blank");
+
+				this.indexName = newIndexName;
+				return this;
+			}
+
 			/**
 			 * {@return the immutable configuration}
 			 */
@@ -198,7 +218,7 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 
 	public static final String DEFAULT_LABEL = "Document";
 
-	private static final String INDEX_NAME = "spring-ai-document-index";
+	public static final String DEFAULT_INDEX_NAME = "spring-ai-document-index";
 
 	public static final String DEFAULT_EMBEDDING_PROPERTY = "embedding";
 
@@ -275,7 +295,7 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 						WHERE score >= $threshold
 						RETURN node, score
 						""",
-						Map.of("indexName", INDEX_NAME, "numberOfNearestNeighbours", request.getTopK(),
+						Map.of("indexName", this.config.indexName, "numberOfNearestNeighbours", request.getTopK(),
 								"embeddingValue", embedding, "threshold", request.getSimilarityThreshold()))
 				.list(Neo4jVectorStore::recordToDocument);
 		}
@@ -292,7 +312,8 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 				.consume();
 
 			var vectorIndexExists = session
-				.run("SHOW INDEXES YIELD name WHERE name = $name RETURN count(*) > 0", Map.of("name", INDEX_NAME))
+				.run("SHOW INDEXES YIELD name WHERE name = $name RETURN count(*) > 0",
+						Map.of("name", this.config.indexName))
 				.single()
 				.get(0)
 				.asBoolean();
@@ -300,7 +321,7 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 			if (!vectorIndexExists) {
 				var statement = "CALL db.index.vector.createNodeIndex($indexName, $label, $embeddingProperty, $embeddingDimension, $distanceType)";
 				session.run(statement,
-						Map.of("indexName", INDEX_NAME, "label", this.config.label, "embeddingProperty",
+						Map.of("indexName", this.config.indexName, "label", this.config.label, "embeddingProperty",
 								this.config.embeddingProperty, "embeddingDimension", this.config.embeddingDimension,
 								"distanceType", this.config.distanceType.name))
 					.consume();
@@ -323,7 +344,7 @@ public class Neo4jVectorStore implements VectorStore, InitializingBean {
 		document.getMetadata().forEach((k, v) -> properties.put("metadata." + k, Values.value(v)));
 		row.put("properties", properties);
 
-		row.put(DEFAULT_EMBEDDING_PROPERTY, Values.value(toFloatArray(embedding)));
+		row.put(this.config.embeddingProperty, Values.value(toFloatArray(embedding)));
 		return row;
 	}