diff --git a/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
index f517411c1..4c9d89669 100644
--- a/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
+++ b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
@@ -12,7 +12,7 @@ from langflow.schema import Data
 class SupabaseVectorStoreComponent(LCVectorStoreComponent):
     display_name = "Supabase"
     description = "Supabase Vector Store with search capabilities"
-    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/supabase/"
     icon = "Supabase"
 
     inputs = [
@@ -20,13 +20,13 @@ class SupabaseVectorStoreComponent(LCVectorStoreComponent):
         SecretStrInput(name="supabase_service_key", display_name="Supabase Service Key", required=True),
         StrInput(name="table_name", display_name="Table Name", advanced=True),
         StrInput(name="query_name", display_name="Query Name"),
-        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
+        MultilineInput(name="search_query", display_name="Search Query"),
         DataInput(
-            name="vector_store_inputs",
-            display_name="Vector Store Inputs",
+            name="ingest_data",
+            display_name="Ingest Data",
             is_list=True,
         ),
-        MultilineInput(name="search_input", display_name="Search Input"),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
         IntInput(
             name="number_of_results",
             display_name="Number of Results",
@@ -43,7 +43,7 @@ class SupabaseVectorStoreComponent(LCVectorStoreComponent):
         supabase: Client = create_client(self.supabase_url, supabase_key=self.supabase_service_key)
 
         documents = []
-        for _input in self.vector_store_inputs or []:
+        for _input in self.ingest_data or []:
             if isinstance(_input, Data):
                 documents.append(_input.to_lc_document())
             else:
@@ -70,9 +70,9 @@ class SupabaseVectorStoreComponent(LCVectorStoreComponent):
     def search_documents(self) -> List[Data]:
         vector_store = self._build_supabase()
 
-        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
             docs = vector_store.similarity_search(
-                query=self.search_input,
+                query=self.search_query,
                 k=self.number_of_results,
             )