diff --git a/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClient.java b/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClient.java
index 58038fa31..50220c3d8 100644
--- a/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClient.java
+++ b/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClient.java
@@ -16,9 +16,12 @@
 
 package org.springframework.ai.bedrock.titan;
 
+import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.atomic.AtomicInteger;
 
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.ai.bedrock.titan.api.TitanEmbeddingBedrockApi;
 import org.springframework.ai.bedrock.titan.api.TitanEmbeddingBedrockApi.TitanEmbeddingRequest;
 import org.springframework.ai.bedrock.titan.api.TitanEmbeddingBedrockApi.TitanEmbeddingResponse;
@@ -41,6 +44,8 @@ import org.springframework.util.Assert;
  */
 public class BedrockTitanEmbeddingClient extends AbstractEmbeddingClient {
 
+	private final Logger logger = LoggerFactory.getLogger(getClass());
+
 	private final TitanEmbeddingBedrockApi embeddingApi;
 
 	public enum InputType {
@@ -90,17 +95,20 @@ public class BedrockTitanEmbeddingClient extends AbstractEmbeddingClient {
 	@Override
 	public List<List<Double>> embed(List<String> inputContents) {
 		Assert.notEmpty(inputContents, "At least one text is required!");
-		Assert.isTrue(inputContents.size() == 1, "Titan Embedding does not support batch embedding!");
+		if (inputContents.size() != 1) {
+			logger.warn(
+					"Titan Embedding does not support batch embedding. Will make multiple API calls to embed(Document)");
+		}
 
-		String inputContent = inputContents.iterator().next();
-
-		var request = (this.inputType == InputType.IMAGE)
-				? new TitanEmbeddingRequest.Builder().withInputImage(inputContent).build()
-				: new TitanEmbeddingRequest.Builder().withInputText(inputContent).build();
-
-		TitanEmbeddingResponse response = this.embeddingApi.embedding(request);
-
-		return List.of(response.embedding());
+		List<List<Double>> embeddingList = new ArrayList<>();
+		for (String inputContent : inputContents) {
+			var request = (this.inputType == InputType.IMAGE)
+					? new TitanEmbeddingRequest.Builder().withInputImage(inputContent).build()
+					: new TitanEmbeddingRequest.Builder().withInputText(inputContent).build();
+			TitanEmbeddingResponse response = this.embeddingApi.embedding(request);
+			embeddingList.add(response.embedding());
+		}
+		return embeddingList;
 	}
 
 	@Override
diff --git a/models/spring-ai-bedrock/src/test/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClientIT.java b/models/spring-ai-bedrock/src/test/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClientIT.java
index 267d0eabe..478c01289 100644
--- a/models/spring-ai-bedrock/src/test/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClientIT.java
+++ b/models/spring-ai-bedrock/src/test/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClientIT.java
@@ -37,14 +37,6 @@ class BedrockTitanEmbeddingClientIT {
 		assertThat(embeddingClient.dimensions()).isEqualTo(1024);
 	}
 
-	@Test
-	void batchEmbedding() {
-		assertThatThrownBy(
-				() -> embeddingClient.embedForResponse(List.of("Hello World", "World is big and salvation is near")))
-			.isInstanceOf(IllegalArgumentException.class)
-			.hasMessageContaining("Titan Embedding does not support batch embedding!");
-	}
-
 	@Test
 	void imageEmbedding() throws IOException {
 
diff --git a/models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/OllamaEmbeddingClient.java b/models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/OllamaEmbeddingClient.java
index 32328e142..05c34aacf 100644
--- a/models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/OllamaEmbeddingClient.java
+++ b/models/spring-ai-ollama/src/main/java/org/springframework/ai/ollama/OllamaEmbeddingClient.java
@@ -16,10 +16,13 @@
 
 package org.springframework.ai.ollama;
 
+import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
 import java.util.concurrent.atomic.AtomicInteger;
 
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.ai.document.Document;
 import org.springframework.ai.embedding.AbstractEmbeddingClient;
 import org.springframework.ai.embedding.Embedding;
@@ -49,6 +52,8 @@ import org.springframework.util.Assert;
  */
 public class OllamaEmbeddingClient extends AbstractEmbeddingClient {
 
+	private final Logger logger = LoggerFactory.getLogger(getClass());
+
 	private final OllamaApi ollamaApi;
 
 	private String model = "orca-mini";
@@ -87,14 +92,18 @@ public class OllamaEmbeddingClient extends AbstractEmbeddingClient {
 	@Override
 	public List<List<Double>> embed(List<String> texts) {
 		Assert.notEmpty(texts, "At least one text is required!");
-		Assert.isTrue(texts.size() == 1, "Ollama Embedding does not support batch embedding!");
+		if (texts.size() != 1) {
+			logger.warn(
+					"Ollama Embedding does not support batch embedding. Will make multiple API calls to embed(Document)");
+		}
 
-		String inputContent = texts.iterator().next();
-
-		OllamaApi.EmbeddingResponse response = this.ollamaApi
-			.embeddings(new EmbeddingRequest(this.model, inputContent, this.clientOptions));
-
-		return List.of(response.embedding());
+		List<List<Double>> embeddingList = new ArrayList<>();
+		for (String inputContent : texts) {
+			OllamaApi.EmbeddingResponse response = this.ollamaApi
+				.embeddings(new EmbeddingRequest(this.model, inputContent, this.clientOptions));
+			embeddingList.add(response.embedding());
+		}
+		return embeddingList;
 	}
 
 	@Override
diff --git a/models/spring-ai-ollama/src/test/java/org/springframework/ai/ollama/OllamaEmbeddingClientIT.java b/models/spring-ai-ollama/src/test/java/org/springframework/ai/ollama/OllamaEmbeddingClientIT.java
index 8016b0c07..c11175aa7 100644
--- a/models/spring-ai-ollama/src/test/java/org/springframework/ai/ollama/OllamaEmbeddingClientIT.java
+++ b/models/spring-ai-ollama/src/test/java/org/springframework/ai/ollama/OllamaEmbeddingClientIT.java
@@ -56,14 +56,6 @@ class OllamaEmbeddingClientIT {
 		assertThat(embeddingClient.dimensions()).isEqualTo(3200);
 	}
 
-	@Test
-	void batchEmbedding() {
-		assertThatThrownBy(
-				() -> embeddingClient.embedForResponse(List.of("Hello World", "World is big and salvation is near")))
-			.isInstanceOf(IllegalArgumentException.class)
-			.hasMessageContaining("Ollama Embedding does not support batch embedding!");
-	}
-
 	@SpringBootConfiguration
 	public static class TestConfiguration {