diff --git a/haystack/pipelines/standard_pipelines.py b/haystack/pipelines/standard_pipelines.py
index 81d7a5453..6275b0272 100644
--- a/haystack/pipelines/standard_pipelines.py
+++ b/haystack/pipelines/standard_pipelines.py
@@ -706,6 +706,12 @@ class MostSimilarDocumentsPipeline(BaseStandardPipeline):
 
         :param document_store: Document Store instance with already stored embeddings.
         """
+        # we create a pipeline and add the document store as a node
+        # however, we do not want to use the document store's run method,
+        # but rather the query_by_embedding method
+        # pipeline property is here so the superclass methods that rely on pipeline property work
+        self.pipeline = Pipeline()
+        self.pipeline.add_node(component=document_store, name="DocumentStore", inputs=["Query"])
         self.document_store = document_store
 
     def run(self, document_ids: List[str], top_k: int = 5):
diff --git a/test/pipelines/test_pipeline.py b/test/pipelines/test_pipeline.py
index d9027a424..08a930b1b 100644
--- a/test/pipelines/test_pipeline.py
+++ b/test/pipelines/test_pipeline.py
@@ -813,8 +813,8 @@ def test_pipeline_classify_type():
     )
     pipe.get_type().startswith("TranslationWrapperPipeline")
 
-    # pipe = MostSimilarDocumentsPipeline(document_store=MockDocumentStore())
-    # assert pipe.get_type().startswith("MostSimilarDocumentsPipeline")
+    pipe = MostSimilarDocumentsPipeline(document_store=MockDocumentStore())
+    assert pipe.get_type().startswith("MostSimilarDocumentsPipeline")
 
 
 @pytest.mark.usefixtures(deepset_cloud_fixture.__name__)
diff --git a/test/pipelines/test_standard_pipelines.py b/test/pipelines/test_standard_pipelines.py
index 57e59665a..21034f22e 100644
--- a/test/pipelines/test_standard_pipelines.py
+++ b/test/pipelines/test_standard_pipelines.py
@@ -229,6 +229,15 @@ def test_most_similar_documents_pipeline_batch(retriever, document_store):
             assert isinstance(document.content, str)
 
 
+@pytest.mark.integration
+@pytest.mark.parametrize("document_store_with_docs", ["memory"], indirect=True)
+def test_most_similar_documents_pipeline_save(tmpdir, document_store_with_docs):
+    pipeline = MostSimilarDocumentsPipeline(document_store=document_store_with_docs)
+    path = Path(tmpdir, "most_similar_document_pipeline.yml")
+    pipeline.save_to_yaml(path)
+    os.path.exists(path)
+
+
 @pytest.mark.elasticsearch
 @pytest.mark.parametrize("document_store_dot_product_with_docs", ["elasticsearch"], indirect=True)
 def test_join_merge_no_weights(document_store_dot_product_with_docs):