diff --git a/src/backend/base/langflow/components/vectorstores/Upstash.py b/src/backend/base/langflow/components/vectorstores/Upstash.py
index 108bd272f..70a371fe0 100644
--- a/src/backend/base/langflow/components/vectorstores/Upstash.py
+++ b/src/backend/base/langflow/components/vectorstores/Upstash.py
@@ -11,7 +11,7 @@ from langflow.schema import Data
 class UpstashVectorStoreComponent(LCVectorStoreComponent):
     display_name = "Upstash"
     description = "Upstash Vector Store with search capabilities"
-    documentation = "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/upstash"
+    documentation = "https://python.langchain.com/v0.2/docs/integrations/vectorstores/upstash/"
     icon = "Upstash"
 
     inputs = [
@@ -26,23 +26,18 @@ class UpstashVectorStoreComponent(LCVectorStoreComponent):
             value="text",
             advanced=True,
         ),
+        MultilineInput(name="search_query", display_name="Search Query"),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
+        ),
         HandleInput(
             name="embedding",
             display_name="Embedding",
             input_types=["Embeddings"],
             info="To use Upstash's embeddings, don't provide an embedding.",
         ),
-        DataInput(
-            name="vector_store_inputs",
-            display_name="Vector Store Inputs",
-            is_list=True,
-        ),
-        BoolInput(
-            name="add_to_vector_store",
-            display_name="Add to Vector Store",
-            info="If true, the Vector Store Inputs will be added to the Vector Store.",
-        ),
-        MultilineInput(name="search_input", display_name="Search Input"),
         IntInput(
             name="number_of_results",
             display_name="Number of Results",
@@ -58,34 +53,26 @@ class UpstashVectorStoreComponent(LCVectorStoreComponent):
     def _build_upstash(self) -> UpstashVectorStore:
         use_upstash_embedding = self.embedding is None
 
-        if self.add_to_vector_store:
-            documents = []
-            for _input in self.vector_store_inputs or []:
-                if isinstance(_input, Data):
-                    documents.append(_input.to_lc_document())
-                else:
-                    documents.append(_input)
-
-            if documents:
-                if use_upstash_embedding:
-                    upstash_vs = UpstashVectorStore(
-                        embedding=use_upstash_embedding,
-                        text_key=self.text_key,
-                        index_url=self.index_url,
-                        index_token=self.index_token,
-                    )
-                    upstash_vs.add_documents(documents)
-                else:
-                    upstash_vs = UpstashVectorStore.from_documents(
-                        documents=documents,
-                        embedding=self.embedding,
-                        text_key=self.text_key,
-                        index_url=self.index_url,
-                        index_token=self.index_token,
-                    )
+        documents = []
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
             else:
+                documents.append(_input)
+
+        if documents:
+            if use_upstash_embedding:
                 upstash_vs = UpstashVectorStore(
-                    embedding=self.embedding or use_upstash_embedding,
+                    embedding=use_upstash_embedding,
+                    text_key=self.text_key,
+                    index_url=self.index_url,
+                    index_token=self.index_token,
+                )
+                upstash_vs.add_documents(documents)
+            else:
+                upstash_vs = UpstashVectorStore.from_documents(
+                    documents=documents,
+                    embedding=self.embedding,
                     text_key=self.text_key,
                     index_url=self.index_url,
                     index_token=self.index_token,
@@ -103,9 +90,9 @@ class UpstashVectorStoreComponent(LCVectorStoreComponent):
     def search_documents(self) -> List[Data]:
         vector_store = self._build_upstash()
 
-        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,
             )