diff --git a/tests/test_embeddings.py b/tests/test_embeddings.py
index e2a07c2..42becdc 100644
--- a/tests/test_embeddings.py
+++ b/tests/test_embeddings.py
@@ -36,7 +36,7 @@ def test_text_embeddings_config_raise_missing(text_embeddings_config_data: dict)
 
 @pytest.mark.parametrize(
     "embeddings_provider_field, field",
-    [("openai", "model"), ("openai", "ollama_url"), ("ollama", "openai_api_key")],
+    [("openai", "ollama_url"), ("ollama", "openai_api_key")],
     indirect=["embeddings_provider_field"],
 )
 def test_text_embeddings_config_optional(text_embeddings_config_data: dict, field: str):
@@ -57,6 +57,28 @@ def test_text_embeddings_config_optional(text_embeddings_config_data: dict, fiel
     assert text_embeddings_config.model_dump()[field] is None
 
 
+@pytest.mark.parametrize(
+    "text_embeddings_config_data",
+    ["openai", "ollama"],
+    indirect=True,
+)
+def test_text_embeddings_config_default_model(text_embeddings_config_data: dict):
+    """Test that the default model is set correctly when not specified."""
+
+    # Remove the model field
+    del text_embeddings_config_data["model"]
+
+    # Instantiate a TextEmbeddingsConfig object
+    text_embeddings_config = TextEmbeddingsConfig(**text_embeddings_config_data)
+
+    # Check that the model field is set to the default value
+    provider = text_embeddings_config_data["provider"]
+    if provider == "openai":
+        assert text_embeddings_config.model == "text-embedding-ada-002"
+    elif provider == "ollama":
+        assert text_embeddings_config.model == "nomic-embed-text"
+
+
 @pytest.mark.parametrize(
     "embeddings_provider_field, field",
     [("openai", "openai_api_key"), ("ollama", "ollama_url")],
diff --git a/uncertainty_engine_types/embeddings.py b/uncertainty_engine_types/embeddings.py
index 0c57c23..894e06d 100644
--- a/uncertainty_engine_types/embeddings.py
+++ b/uncertainty_engine_types/embeddings.py
@@ -32,3 +32,14 @@ def check_provider(cls, values):
         ):
             raise ValueError("openai_api_key must be provided for 'openai' provider.")
         return values
+
+    @model_validator(mode="before")
+    @classmethod
+    def check_model(cls, values):
+        model = values.get("model", None)
+        provider = values.get("provider")
+        if provider == TextEmbeddingsProvider.OLLAMA.value and not model:
+            values["model"] = "nomic-embed-text"
+        if provider == TextEmbeddingsProvider.OPENAI.value and not model:
+            values["model"] = "text-embedding-ada-002"
+        return values