diff --git a/python/python/lancedb/embeddings/voyageai.py b/python/python/lancedb/embeddings/voyageai.py
index ec2c5b6d..417b5fc4 100644
--- a/python/python/lancedb/embeddings/voyageai.py
+++ b/python/python/lancedb/embeddings/voyageai.py
@@ -59,7 +59,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
         .create(name="voyage-3")
 
     class TextModel(LanceModel):
-        data: str = voyageai.SourceField()
+        text: str = voyageai.SourceField()
         vector: Vector(voyageai.ndims()) =  voyageai.VectorField()
 
     data = [ { "text": "hello world" },
@@ -74,6 +74,14 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
 
     name: str
     client: ClassVar = None
+    text_embedding_models: list = [
+        "voyage-3",
+        "voyage-3-lite",
+        "voyage-finance-2",
+        "voyage-law-2",
+        "voyage-code-2",
+    ]
+    multimodal_embedding_models: list = ["voyage-multimodal-3"]
 
     def ndims(self):
         if self.name == "voyage-3-lite":
@@ -115,13 +123,14 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
 
         truncation: Optional[bool]
         """
-        if self.name in ["voyage-multimodal-3"]:
-            rs = VoyageAIEmbeddingFunction._get_client().multimodal_embed(
-                inputs=[[text]], model=self.name, **kwargs
-            )
+        client = VoyageAIEmbeddingFunction._get_client()
+        if self.name in self.text_embedding_models:
+            rs = client.embed(texts=[text], model=self.name, **kwargs)
+        elif self.name in self.multimodal_embedding_models:
+            rs = client.multimodal_embed(inputs=[[text]], model=self.name, **kwargs)
         else:
-            rs = VoyageAIEmbeddingFunction._get_client().embed(
-                texts=[text], model=self.name, **kwargs
+            raise ValueError(
+                f"Model {self.name} not supported to generate text embeddings"
             )
 
         return rs.embeddings[0]