feat(genai/embeddings/multimodal): Add genai multimodal embedding image sample (#14511)

* feat: add multimodal embedding image example and update location to global

* refactor: update embed_content return type hint to types.EmbedContentResponse

* added eof

* chore: add newline to end of multimodal embedding image sample

* chore: update multimodal embedding image code snippet tags to aiplatform_genai prefix

Author: Kef131

genai/embeddings/multimodal_embedding_image.py

@@ -0,0 +1,47 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# [START aiplatform_genai_multimodal_embedding_image]
+from google import genai
+from google.genai import types
+
+
+def embed_content() -> types.EmbedContentResponse:
+    client = genai.Client()
+
+    content = types.Content(
+        parts=[
+            types.Part.from_uri(
+                file_uri="gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png",
+                mime_type="image/png",
+            ),
+            types.Part.from_text(text="Colosseum"),
+        ],
+    )
+
+    response = client.models.embed_content(
+        model="gemini-embedding-2",
+        contents=[content],
+        config=types.EmbedContentConfig(
+            output_dimensionality=1408,
+        ),
+    )
+    print(response)
+    # Example response:
+    # embeddings=[ContentEmbedding(values=[-0.0123147098, 0.0727171078, ...])]
+    return response
+
+
+# [END aiplatform_genai_multimodal_embedding_image]
+

genai/embeddings/test_embeddings_examples.py

@@ -21,6 +21,7 @@
 import code_retrieval_example
 import embeddings_docretrieval_with_txt
 import model_tuning_example
+import multimodal_embedding_image
 import multimodal_embedding_video
 
 os.environ["GOOGLE_GENAI_USE_ENTERPRISE"] = "True"
@@ -38,11 +39,17 @@ def test_code_retrieval_example() -> None:
     response = code_retrieval_example.embed_test()
     assert response
 
+
 def test_model_tuning_example() -> None:
     response = model_tuning_example.tune_embedding_model()
     assert response
 
 
+def test_multimodal_embedding_image() -> None:
+    response = multimodal_embedding_image.embed_content()
+    assert response
+
+    
 def test_multimodal_embedding_video() -> None:
     response = multimodal_embedding_video.embed_content()
     assert response