diff --git a/docs/mint.json b/docs/mint.json
index 5e301898..1b982580 100644
--- a/docs/mint.json
+++ b/docs/mint.json
@@ -126,6 +126,7 @@
                 "components/embedders/models/azure_openai",
                 "components/embedders/models/ollama",
                 "components/embedders/models/huggingface",
+                "components/embedders/models/vertexai",
                 "components/embedders/models/gemini"
               ]
             }
@@ -231,4 +232,4 @@
       "apiHost": "https://us.i.posthog.com"
     }
   }
-}
\ No newline at end of file
+}
diff --git a/mem0/configs/embeddings/base.py b/mem0/configs/embeddings/base.py
index 63245872..a3d989ee 100644
--- a/mem0/configs/embeddings/base.py
+++ b/mem0/configs/embeddings/base.py
@@ -25,6 +25,8 @@ class BaseEmbedderConfig(ABC):
         # AzureOpenAI specific
         azure_kwargs: Optional[AzureConfig] = {},
         http_client_proxies: Optional[Union[Dict, str]] = None,
+        # VertexAI specific
+        vertex_credentials_json: Optional[str] = None,
     ):
         """
         Initializes a configuration class instance for the Embeddings.
@@ -63,3 +65,6 @@ class BaseEmbedderConfig(ABC):
 
         # AzureOpenAI specific
         self.azure_kwargs = AzureConfig(**azure_kwargs) or {}
+
+        # VertexAI specific
+        self.vertex_credentials_json = vertex_credentials_json
diff --git a/mem0/embeddings/vertexai.py b/mem0/embeddings/vertexai.py
index bcdaaab2..740e6303 100644
--- a/mem0/embeddings/vertexai.py
+++ b/mem0/embeddings/vertexai.py
@@ -7,7 +7,7 @@ from mem0.configs.embeddings.base import BaseEmbedderConfig
 from mem0.embeddings.base import EmbeddingBase
 
 
-class VertexAI(EmbeddingBase):
+class VertexAIEmbedding(EmbeddingBase):
     def __init__(self, config: Optional[BaseEmbedderConfig] = None):
         super().__init__(config)
 
diff --git a/mem0/utils/factory.py b/mem0/utils/factory.py
index 034fc6fc..43f853c6 100644
--- a/mem0/utils/factory.py
+++ b/mem0/utils/factory.py
@@ -42,6 +42,7 @@ class EmbedderFactory:
         "huggingface": "mem0.embeddings.huggingface.HuggingFaceEmbedding",
         "azure_openai": "mem0.embeddings.azure_openai.AzureOpenAIEmbedding",
         "gemini": "mem0.embeddings.gemini.GoogleGenAIEmbedding",
+        "vertexai": "mem0.embeddings.vertexai.VertexAIEmbedding",
     }
 
     @classmethod
diff --git a/tests/embeddings/test_vertexai_embeddings.py b/tests/embeddings/test_vertexai_embeddings.py
index 4b85e077..26ac6341 100644
--- a/tests/embeddings/test_vertexai_embeddings.py
+++ b/tests/embeddings/test_vertexai_embeddings.py
@@ -1,6 +1,6 @@
 import pytest
 from unittest.mock import Mock, patch
-from mem0.embeddings.vertexai import VertexAI
+from mem0.embeddings.vertexai import VertexAIEmbedding
 from mem0.configs.embeddings.base import BaseEmbedderConfig
 
 
@@ -32,7 +32,7 @@ def test_embed_default_model(mock_text_embedding_model, mock_os_environ, mock_co
     mock_config.return_value.embedding_dims = 256
 
     config = mock_config()
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.1, 0.2, 0.3])
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [
@@ -57,7 +57,7 @@ def test_embed_custom_model(mock_text_embedding_model, mock_os_environ, mock_con
 
     config = mock_config()
 
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.4, 0.5, 0.6])
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [
@@ -81,7 +81,7 @@ def test_credentials_from_environment(mock_os, mock_text_embedding_model, mock_c
     mock_os.getenv.return_value = "/path/to/env/credentials.json"
     mock_config.vertex_credentials_json = None
     config = mock_config()
-    VertexAI(config)
+    VertexAIEmbedding(config)
 
     mock_os.environ.setitem.assert_not_called()
 
@@ -96,7 +96,7 @@ def test_missing_credentials(mock_os, mock_text_embedding_model, mock_config):
     with pytest.raises(
         ValueError, match="Google application credentials JSON is not provided"
     ):
-        VertexAI(config)
+        VertexAIEmbedding(config)
 
 
 @patch("mem0.embeddings.vertexai.TextEmbeddingModel")
@@ -107,7 +107,7 @@ def test_embed_with_different_dimensions(
     mock_config.return_value.embedding_dims = 1024
 
     config = mock_config()
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.1] * 1024)
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [