diff --git a/libs/community/langchain_community/vectorstores/neo4j_vector.py b/libs/community/langchain_community/vectorstores/neo4j_vector.py
index 5e9057c533d..2ce1366ba60 100644
--- a/libs/community/langchain_community/vectorstores/neo4j_vector.py
+++ b/libs/community/langchain_community/vectorstores/neo4j_vector.py
@@ -549,6 +549,7 @@ class Neo4jVector(VectorStore):
         self,
         query: str,
         k: int = 4,
+        params: Dict[str, Any] = {},
         **kwargs: Any,
     ) -> List[Document]:
         """Run similarity search with Neo4jVector.
@@ -562,13 +563,15 @@ class Neo4jVector(VectorStore):
         """
         embedding = self.embedding.embed_query(text=query)
         return self.similarity_search_by_vector(
-            embedding=embedding,
-            k=k,
-            query=query,
+            embedding=embedding, k=k, query=query, params=params, **kwargs
         )
 
     def similarity_search_with_score(
-        self, query: str, k: int = 4
+        self,
+        query: str,
+        k: int = 4,
+        params: Dict[str, Any] = {},
+        **kwargs: Any,
     ) -> List[Tuple[Document, float]]:
         """Return docs most similar to query.
 
@@ -581,12 +584,16 @@ class Neo4jVector(VectorStore):
         """
         embedding = self.embedding.embed_query(query)
         docs = self.similarity_search_with_score_by_vector(
-            embedding=embedding, k=k, query=query
+            embedding=embedding, k=k, query=query, params=params, **kwargs
         )
         return docs
 
     def similarity_search_with_score_by_vector(
-        self, embedding: List[float], k: int = 4, **kwargs: Any
+        self,
+        embedding: List[float],
+        k: int = 4,
+        params: Dict[str, Any] = {},
+        **kwargs: Any,
     ) -> List[Tuple[Document, float]]:
         """
         Perform a similarity search in the Neo4j database using a
@@ -623,6 +630,7 @@ class Neo4jVector(VectorStore):
             "embedding": embedding,
             "keyword_index": self.keyword_index_name,
             "query": remove_lucene_chars(kwargs["query"]),
+            **params,
         }
 
         results = self.query(read_query, params=parameters)
diff --git a/libs/community/tests/integration_tests/vectorstores/test_neo4jvector.py b/libs/community/tests/integration_tests/vectorstores/test_neo4jvector.py
index 13aef52a408..ffa340398f5 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_neo4jvector.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_neo4jvector.py
@@ -721,3 +721,23 @@ def test_index_fetching() -> None:
 
     index_0_store = fetch_store(index_0_str)
     assert index_0_store.index_name == index_0_str
+
+
+def test_retrieval_params() -> None:
+    """Test if we use parameters in retrieval query"""
+    docsearch = Neo4jVector.from_texts(
+        texts=texts,
+        embedding=FakeEmbeddings(),
+        pre_delete_collection=True,
+        retrieval_query="""
+        RETURN $test as text, score, {test: $test1} AS metadata
+        """,
+    )
+
+    output = docsearch.similarity_search(
+        "Foo", k=2, params={"test": "test", "test1": "test1"}
+    )
+    assert output == [
+        Document(page_content="test", metadata={"test": "test1"}),
+        Document(page_content="test", metadata={"test": "test1"}),
+    ]