Fix Embedding Dimension Parameter Not Being Passed (#2304)

mem0/embeddings/gemini.py

@@ -28,5 +28,5 @@ class GoogleGenAIEmbedding(EmbeddingBase):
             list: The embedding vector.
         """
         text = text.replace("\n", " ")
-        response = genai.embed_content(model=self.config.model, content=text)
+        response = genai.embed_content(model=self.config.model, content=text, output_dimensionality=self.config.embedding_dims)
         return response["embedding"]

mem0/embeddings/openai.py

@@ -29,4 +29,4 @@ class OpenAIEmbedding(EmbeddingBase):
             list: The embedding vector.
         """
         text = text.replace("\n", " ")
-        return self.client.embeddings.create(input=[text], model=self.config.model).data[0].embedding
+        return self.client.embeddings.create(input=[text], model=self.config.model, dimensions = self.config.embedding_dims).data[0].embedding

tests/embeddings/test_gemini.py

@@ -12,7 +12,7 @@ def mock_genai():
 
 @pytest.fixture
 def config():
-    return BaseEmbedderConfig(api_key="dummy_api_key", model="test_model")
+    return BaseEmbedderConfig(api_key="dummy_api_key", model="test_model", embedding_dims=786)
 
 
 def test_embed_query(mock_genai, config):
@@ -25,4 +25,4 @@ def test_embed_query(mock_genai, config):
     embedding = embedder.embed(text)
 
     assert embedding == [0.1, 0.2, 0.3, 0.4]
-    mock_genai.assert_called_once_with(model="test_model", content="Hello, world!")
+    mock_genai.assert_called_once_with(model="test_model", content="Hello, world!", output_dimensionality=786)

tests/embeddings/test_openai_embeddings.py

@@ -21,7 +21,7 @@ def test_embed_default_model(mock_openai_client):
 
     result = embedder.embed("Hello world")
 
-    mock_openai_client.embeddings.create.assert_called_once_with(input=["Hello world"], model="text-embedding-3-small")
+    mock_openai_client.embeddings.create.assert_called_once_with(input=["Hello world"], model="text-embedding-3-small", dimensions = 1536)
     assert result == [0.1, 0.2, 0.3]
 
 
@@ -35,7 +35,7 @@ def test_embed_custom_model(mock_openai_client):
     result = embedder.embed("Test embedding")
 
     mock_openai_client.embeddings.create.assert_called_once_with(
-        input=["Test embedding"], model="text-embedding-2-medium"
+        input=["Test embedding"], model="text-embedding-2-medium", dimensions = 1024
     )
     assert result == [0.4, 0.5, 0.6]
 
@@ -49,7 +49,7 @@ def test_embed_removes_newlines(mock_openai_client):
 
     result = embedder.embed("Hello\nworld")
 
-    mock_openai_client.embeddings.create.assert_called_once_with(input=["Hello world"], model="text-embedding-3-small")
+    mock_openai_client.embeddings.create.assert_called_once_with(input=["Hello world"], model="text-embedding-3-small", dimensions = 1536)
     assert result == [0.7, 0.8, 0.9]
 
 
@@ -63,7 +63,7 @@ def test_embed_without_api_key_env_var(mock_openai_client):
     result = embedder.embed("Testing API key")
 
     mock_openai_client.embeddings.create.assert_called_once_with(
-        input=["Testing API key"], model="text-embedding-3-small"
+        input=["Testing API key"], model="text-embedding-3-small", dimensions = 1536
     )
     assert result == [1.0, 1.1, 1.2]
 
@@ -79,6 +79,6 @@ def test_embed_uses_environment_api_key(mock_openai_client, monkeypatch):
     result = embedder.embed("Environment key test")
 
     mock_openai_client.embeddings.create.assert_called_once_with(
-        input=["Environment key test"], model="text-embedding-3-small"
+        input=["Environment key test"], model="text-embedding-3-small", dimensions = 1536
     )
     assert result == [1.3, 1.4, 1.5]