diff --git a/src/backend/langflow/components/vectorstores/base/__init__.py b/src/backend/langflow/components/vectorstores/base/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/components/vectorstores/base/model.py b/src/backend/langflow/components/vectorstores/base/model.py
new file mode 100644
index 000000000..c6af714d6
--- /dev/null
+++ b/src/backend/langflow/components/vectorstores/base/model.py
@@ -0,0 +1,27 @@
+from typing import List
+
+from langchain_core.vectorstores import VectorStore
+
+from langflow import CustomComponent
+from langflow.field_typing import Text
+from langflow.schema import Record, docs_to_records
+
+
+class LCVectorStoreComponent(CustomComponent):
+
+    display_name: str = "LC Vector Store"
+    description: str = "Search a LC Vector Store for similar documents."
+    beta: bool = True
+
+    def search_with_vector_store(
+        self, input_value: Text, search_type: str, vector_store: VectorStore
+    ) -> List[Record]:
+
+        docs = []
+        if input_value and isinstance(input_value, str):
+            docs = vector_store.search(
+                query=input_value, search_type=search_type.lower()
+            )
+        else:
+            raise ValueError("Invalid inputs provided.")
+        return docs_to_records(docs)