diff --git a/haystack/nodes/retriever/multimodal/retriever.py b/haystack/nodes/retriever/multimodal/retriever.py
index b50701201..8ff9fdd2e 100644
--- a/haystack/nodes/retriever/multimodal/retriever.py
+++ b/haystack/nodes/retriever/multimodal/retriever.py
@@ -6,7 +6,7 @@ from pathlib import Path
 import torch
 import numpy as np
 
-from haystack.nodes.retriever import BaseRetriever
+from haystack.nodes.retriever import DenseRetriever
 from haystack.document_stores import BaseDocumentStore
 from haystack.schema import ContentTypes, Document
 from haystack.nodes.retriever.multimodal.embedder import MultiModalEmbedder, MultiModalRetrieverError
@@ -18,7 +18,7 @@ logger = logging.getLogger(__name__)
 FilterType = Optional[Dict[str, Union[Dict[str, Any], List[Any], str, int, float, bool]]]
 
 
-class MultiModalRetriever(BaseRetriever):
+class MultiModalRetriever(DenseRetriever):
     def __init__(
         self,
         document_store: BaseDocumentStore,
@@ -221,3 +221,7 @@ class MultiModalRetriever(BaseRetriever):
 
     def embed_documents(self, docs: List[Document]) -> np.ndarray:
         return self.document_embedder.embed(documents=docs)
+
+    def embed_queries(self, queries: List[str]) -> np.ndarray:
+        query_documents = [Document(content=query, content_type="text") for query in queries]
+        return self.query_embedder.embed(documents=query_documents)
diff --git a/test/nodes/test_retriever.py b/test/nodes/test_retriever.py
index b779b1ee5..af6e4f1c3 100644
--- a/test/nodes/test_retriever.py
+++ b/test/nodes/test_retriever.py
@@ -831,6 +831,18 @@ def test_multimodal_table_retrieval(table_docs: List[Document]):
     )
 
 
+@pytest.mark.integration
+def test_multimodal_retriever_query():
+    retriever = MultiModalRetriever(
+        document_store=InMemoryDocumentStore(return_embedding=True, embedding_dim=512),
+        query_embedding_model="sentence-transformers/clip-ViT-B-32",
+        document_embedding_models={"image": "sentence-transformers/clip-ViT-B-32"},
+    )
+
+    res_emb = retriever.embed_queries(["dummy query 1", "dummy query 1"])
+    assert np.array_equal(res_emb[0], res_emb[1])
+
+
 @pytest.mark.integration
 def test_multimodal_image_retrieval(image_docs: List[Document]):
     retriever = MultiModalRetriever(