diff --git a/libs/partners/ollama/tests/integration_tests/test_embeddings.py b/libs/partners/ollama/tests/integration_tests/test_embeddings.py
index e0310bf3b0f..26722362e6b 100644
--- a/libs/partners/ollama/tests/integration_tests/test_embeddings.py
+++ b/libs/partners/ollama/tests/integration_tests/test_embeddings.py
@@ -1,20 +1,17 @@
 """Test Ollama embeddings."""
 
+from typing import Type
+
+from langchain_standard_tests.integration_tests import EmbeddingsIntegrationTests
+
 from langchain_ollama.embeddings import OllamaEmbeddings
 
 
-def test_langchain_ollama_embedding_documents() -> None:
-    """Test cohere embeddings."""
-    documents = ["foo bar"]
-    embedding = OllamaEmbeddings(model="llama3")
-    output = embedding.embed_documents(documents)
-    assert len(output) == 1
-    assert len(output[0]) > 0
+class TestOllamaEmbeddings(EmbeddingsIntegrationTests):
+    @property
+    def embeddings_class(self) -> Type[OllamaEmbeddings]:
+        return OllamaEmbeddings
 
-
-def test_langchain_ollama_embedding_query() -> None:
-    """Test cohere embeddings."""
-    document = "foo bar"
-    embedding = OllamaEmbeddings(model="llama3")
-    output = embedding.embed_query(document)
-    assert len(output) > 0
+    @property
+    def embedding_model_params(self) -> dict:
+        return {"model": "llama3:latest"}
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py b/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py
index f304bff2381..ef9b6b05acf 100644
--- a/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py
+++ b/libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py
@@ -9,6 +9,7 @@ modules = [
     "cache",
     "chat_models",
     "vectorstores",
+    "embeddings",
 ]
 
 for module in modules:
@@ -19,7 +20,11 @@ for module in modules:
 from langchain_standard_tests.integration_tests.chat_models import (
     ChatModelIntegrationTests,
 )
+from langchain_standard_tests.integration_tests.embeddings import (
+    EmbeddingsIntegrationTests,
+)
 
 __all__ = [
     "ChatModelIntegrationTests",
+    "EmbeddingsIntegrationTests",
 ]
diff --git a/libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py b/libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py
new file mode 100644
index 00000000000..1de2aece780
--- /dev/null
+++ b/libs/standard-tests/langchain_standard_tests/integration_tests/embeddings.py
@@ -0,0 +1,49 @@
+from typing import List
+
+from langchain_core.embeddings import Embeddings
+
+from langchain_standard_tests.unit_tests.embeddings import EmbeddingsTests
+
+
+class EmbeddingsIntegrationTests(EmbeddingsTests):
+    def test_embed_query(self, model: Embeddings) -> None:
+        embedding_1 = model.embed_query("foo")
+
+        assert isinstance(embedding_1, List)
+        assert isinstance(embedding_1[0], float)
+
+        embedding_2 = model.embed_query("bar")
+
+        assert len(embedding_1) > 0
+        assert len(embedding_1) == len(embedding_2)
+
+    def test_embed_documents(self, model: Embeddings) -> None:
+        documents = ["foo", "bar", "baz"]
+        embeddings = model.embed_documents(documents)
+
+        assert len(embeddings) == len(documents)
+        assert all(isinstance(embedding, List) for embedding in embeddings)
+        assert all(isinstance(embedding[0], float) for embedding in embeddings)
+        assert len(embeddings[0]) > 0
+        assert all(len(embedding) == len(embeddings[0]) for embedding in embeddings)
+
+    async def test_aembed_query(self, model: Embeddings) -> None:
+        embedding_1 = await model.aembed_query("foo")
+
+        assert isinstance(embedding_1, List)
+        assert isinstance(embedding_1[0], float)
+
+        embedding_2 = await model.aembed_query("bar")
+
+        assert len(embedding_1) > 0
+        assert len(embedding_1) == len(embedding_2)
+
+    async def test_aembed_documents(self, model: Embeddings) -> None:
+        documents = ["foo", "bar", "baz"]
+        embeddings = await model.aembed_documents(documents)
+
+        assert len(embeddings) == len(documents)
+        assert all(isinstance(embedding, List) for embedding in embeddings)
+        assert all(isinstance(embedding[0], float) for embedding in embeddings)
+        assert len(embeddings[0]) > 0
+        assert all(len(embedding) == len(embeddings[0]) for embedding in embeddings)
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py b/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py
index 418330b5dc1..14715260ea5 100644
--- a/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py
+++ b/libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py
@@ -6,6 +6,7 @@ import pytest
 # https://docs.pytest.org/en/7.1.x/how-to/writing_plugins.html#assertion-rewriting
 modules = [
     "chat_models",
+    "embeddings",
 ]
 
 for module in modules:
@@ -13,4 +14,4 @@ for module in modules:
 
 from langchain_standard_tests.unit_tests.chat_models import ChatModelUnitTests
 
-__all__ = ["ChatModelUnitTests"]
+__all__ = ["ChatModelUnitTests", "EmbeddingsUnitTests"]
diff --git a/libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py b/libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py
new file mode 100644
index 00000000000..28e8c66bbd6
--- /dev/null
+++ b/libs/standard-tests/langchain_standard_tests/unit_tests/embeddings.py
@@ -0,0 +1,28 @@
+from abc import abstractmethod
+from typing import Type
+
+import pytest
+from langchain_core.embeddings import Embeddings
+
+from langchain_standard_tests.base import BaseStandardTests
+
+
+class EmbeddingsTests(BaseStandardTests):
+    @property
+    @abstractmethod
+    def embeddings_class(self) -> Type[Embeddings]:
+        ...
+
+    @property
+    def embedding_model_params(self) -> dict:
+        return {}
+
+    @pytest.fixture
+    def model(self) -> Embeddings:
+        return self.embeddings_class(**self.embedding_model_params)
+
+
+class EmbeddingsUnitTests(EmbeddingsTests):
+    def test_init(self) -> None:
+        model = self.embeddings_class(**self.embedding_model_params)
+        assert model is not None