diff --git a/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py b/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py
index 1337bffb9..f11c04748 100644
--- a/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py
+++ b/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py
@@ -92,6 +92,11 @@ class AstraDBSearchComponent(LCVectorStoreComponent):
                 "info": "Optional dictionary defining the indexing policy for the collection.",
                 "advanced": True,
             },
+            "number_of_results": {
+                "display_name": "Number of Results",
+                "info": "Number of results to return.",
+                "advanced": True,
+            },
         }
 
     def build(
@@ -102,6 +107,7 @@ class AstraDBSearchComponent(LCVectorStoreComponent):
         token: str,
         api_endpoint: str,
         search_type: str = "Similarity",
+        number_of_results: int = 4,
         namespace: Optional[str] = None,
         metric: Optional[str] = None,
         batch_size: Optional[int] = None,
@@ -131,4 +137,4 @@ class AstraDBSearchComponent(LCVectorStoreComponent):
             metadata_indexing_exclude=metadata_indexing_exclude,
             collection_indexing_policy=collection_indexing_policy,
         )
-        return self.search_with_vector_store(input_value, search_type, vector_store)
+        return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)
diff --git a/src/backend/base/langflow/components/vectorstores/base/model.py b/src/backend/base/langflow/components/vectorstores/base/model.py
index eef99ef21..668c5eff2 100644
--- a/src/backend/base/langflow/components/vectorstores/base/model.py
+++ b/src/backend/base/langflow/components/vectorstores/base/model.py
@@ -19,6 +19,8 @@ class LCVectorStoreComponent(CustomComponent):
         input_value: Text,
         search_type: str,
         vector_store: Union[VectorStore, BaseRetriever],
+        k=10,
+        **kwargs,
     ) -> List[Record]:
         """
         Search for records in the vector store based on the input value and search type.
@@ -37,7 +39,7 @@ class LCVectorStoreComponent(CustomComponent):
 
         docs: List[Document] = []
         if input_value and isinstance(input_value, str) and hasattr(vector_store, "search"):
-            docs = vector_store.search(query=input_value, search_type=search_type.lower())
+            docs = vector_store.search(query=input_value, search_type=search_type.lower(), k=k, **kwargs)
         else:
             raise ValueError("Invalid inputs provided.")
         records = docs_to_records(docs)