diff --git a/models/spring-ai-openai/src/main/java/org/springframework/ai/openai/api/OpenAiApi.java b/models/spring-ai-openai/src/main/java/org/springframework/ai/openai/api/OpenAiApi.java
index 5d8d23eee..37cc23abb 100644
--- a/models/spring-ai-openai/src/main/java/org/springframework/ai/openai/api/OpenAiApi.java
+++ b/models/spring-ai-openai/src/main/java/org/springframework/ai/openai/api/OpenAiApi.java
@@ -54,7 +54,7 @@ public class OpenAiApi {
 
 	private static final String DEFAULT_BASE_URL = "https://api.openai.com";
 	public static final String DEFAULT_CHAT_MODEL = "gpt-3.5-turbo";
-	public static final String DEFAULT_EMBEDDING_MODEL = "text-embedding-3-small";
+	public static final String DEFAULT_EMBEDDING_MODEL = "text-embedding-ada-002";
 	private static final Predicate<String> SSE_DONE_PREDICATE = "[DONE]"::equals;
 
 	private final RestClient restClient;
diff --git a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/embedding/EmbeddingIT.java b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/embedding/EmbeddingIT.java
index cc154ab0b..17429c479 100644
--- a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/embedding/EmbeddingIT.java
+++ b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/embedding/EmbeddingIT.java
@@ -42,7 +42,7 @@ class EmbeddingIT {
 		assertThat(embeddingResponse.getResults()).hasSize(1);
 		assertThat(embeddingResponse.getResults().get(0)).isNotNull();
 		assertThat(embeddingResponse.getResults().get(0).getOutput()).hasSize(1536);
-		assertThat(embeddingResponse.getMetadata()).containsEntry("model", "text-embedding-3-small");
+		assertThat(embeddingResponse.getMetadata()).containsEntry("model", "text-embedding-ada-002");
 		assertThat(embeddingResponse.getMetadata()).containsEntry("total-tokens", 2);
 		assertThat(embeddingResponse.getMetadata()).containsEntry("prompt-tokens", 2);
 
@@ -68,12 +68,12 @@ class EmbeddingIT {
 	void textEmbeddingAda002() {
 
 		EmbeddingResponse embeddingResponse = embeddingClient.call(new EmbeddingRequest(List.of("Hello World"),
-				OpenAiEmbeddingOptions.builder().withModel("text-embedding-ada-002").build()));
+				OpenAiEmbeddingOptions.builder().withModel("text-embedding-3-small").build()));
 		assertThat(embeddingResponse.getResults()).hasSize(1);
 		assertThat(embeddingResponse.getResults().get(0)).isNotNull();
 		assertThat(embeddingResponse.getResults().get(0).getOutput()).hasSize(1536);
 
-		assertThat(embeddingResponse.getMetadata()).containsEntry("model", "text-embedding-ada-002");
+		assertThat(embeddingResponse.getMetadata()).containsEntry("model", "text-embedding-3-small");
 		assertThat(embeddingResponse.getMetadata()).containsEntry("total-tokens", 2);
 		assertThat(embeddingResponse.getMetadata()).containsEntry("prompt-tokens", 2);
 
diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/openai-embeddings.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/openai-embeddings.adoc
index 8d79e1104..144aa4ecd 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/openai-embeddings.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/openai-embeddings.adoc
@@ -62,7 +62,7 @@ The prefix `spring.ai.openai.embedding` is property prefix that configures the `
 | spring.ai.openai.embedding.base-url   | Optional overrides the spring.ai.openai.base-url to provide embedding specific url | -
 | spring.ai.openai.embedding.api-key    | Optional overrides the spring.ai.openai.api-key to provide embedding specific api-key  | -
 | spring.ai.openai.embedding.metadata-mode      | Document content extraction mode.      | EMBED
-| spring.ai.openai.embedding.options.model      | The model to use      | text-embedding-3-small (other options: text-embedding-3-large, text-embedding-ada-002)
+| spring.ai.openai.embedding.options.model      | The model to use      | text-embedding-ada-002 (other options: text-embedding-3-large, text-embedding-3-small)
 | spring.ai.openai.embedding.options.encodingFormat   | The format to return the embeddings in. Can be either float or base64.  | -
 | spring.ai.openai.embedding.options.user   | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.  | -
 |====
diff --git a/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusVectorStoreIT.java b/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusVectorStoreIT.java
index c13b9a3de..80bd3b256 100644
--- a/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusVectorStoreIT.java
+++ b/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusVectorStoreIT.java
@@ -310,8 +310,10 @@ public class MilvusVectorStoreIT {
 
 		@Bean
 		public EmbeddingClient embeddingClient() {
-			return new OpenAiEmbeddingClient(new OpenAiApi(System.getenv("OPENAI_API_KEY")), MetadataMode.EMBED,
-					OpenAiEmbeddingOptions.builder().withModel("text-embedding-ada-002").build());
+			return new OpenAiEmbeddingClient(new OpenAiApi(System.getenv("OPENAI_API_KEY")));
+			// return new OpenAiEmbeddingClient(new
+			// OpenAiApi(System.getenv("OPENAI_API_KEY")), MetadataMode.EMBED,
+			// OpenAiEmbeddingOptions.builder().withModel("text-embedding-ada-002").build());
 		}
 
 	}