diff --git a/tests/test_embedder.py b/tests/test_embedder.py
index 5b9b3d35..46ebde61 100644
--- a/tests/test_embedder.py
+++ b/tests/test_embedder.py
@@ -46,3 +46,83 @@ async def test_similarity():
 
     sims = similarities(embeddings, test_embedding)
     assert max(sims) == sims[1]
+
+
+@pytest.mark.asyncio
+async def test_openai_embedder(monkeypatch):
+    monkeypatch.setenv("EMBEDDING_PROVIDER", "openai")
+    monkeypatch.setenv("EMBEDDING_MODEL", "text-embedding-3-small")
+
+    try:
+        from haiku.rag.embeddings.openai import Embedder as OpenAIEmbedder
+
+        embedder = OpenAIEmbedder("text-embedding-3-small", 1536)
+
+        # Mock the OpenAI client
+        class MockEmbeddingData:
+            def __init__(self, embedding):
+                self.embedding = embedding
+
+        class MockResponse:
+            def __init__(self, embedding):
+                self.data = [MockEmbeddingData(embedding)]
+
+        class MockAsyncOpenAI:
+            class MockEmbeddings:
+                async def create(self, model, input):
+                    return MockResponse([0.1] * 1536)
+
+            def __init__(self):
+                self.embeddings = self.MockEmbeddings()
+
+        # Patch the AsyncOpenAI import
+        import haiku.rag.embeddings.openai
+
+        original_client = haiku.rag.embeddings.openai.AsyncOpenAI
+        haiku.rag.embeddings.openai.AsyncOpenAI = MockAsyncOpenAI
+
+        try:
+            embedding = await embedder.embed("test text")
+            assert len(embedding) == 1536
+            assert all(isinstance(x, float) for x in embedding)
+        finally:
+            haiku.rag.embeddings.openai.AsyncOpenAI = original_client
+
+    except ImportError:
+        pytest.skip("OpenAI package not installed")
+
+
+@pytest.mark.asyncio
+async def test_voyageai_embedder(monkeypatch):
+    monkeypatch.setenv("EMBEDDING_PROVIDER", "voyageai")
+    monkeypatch.setenv("EMBEDDING_MODEL", "voyage-3.5")
+
+    try:
+        from haiku.rag.embeddings.voyageai import Embedder as VoyageAIEmbedder
+
+        embedder = VoyageAIEmbedder("voyage-3.5", 1024)
+
+        # Mock the VoyageAI client
+        class MockEmbeddings:
+            def __init__(self, embeddings):
+                self.embeddings = embeddings
+
+        class MockClient:
+            def embed(self, texts, model, output_dtype):
+                return MockEmbeddings([[0.1] * 1024])
+
+        # Patch the Client import
+        import haiku.rag.embeddings.voyageai
+
+        original_client = haiku.rag.embeddings.voyageai.Client
+        haiku.rag.embeddings.voyageai.Client = MockClient
+
+        try:
+            embedding = await embedder.embed("test text")
+            assert len(embedding) == 1024
+            assert all(isinstance(x, float) for x in embedding)
+        finally:
+            haiku.rag.embeddings.voyageai.Client = original_client
+
+    except ImportError:
+        pytest.skip("VoyageAI package not installed")