🐛 fix(loading.py): fix issue with search_kwargs assignment in instantiate_vectorstore function

🔧 chore(loading.py): refactor instantiate_vectorstore function to clean up docs or texts to have only documents

src/backend/langflow/interface/initialize/loading.py

@@ -300,6 +300,8 @@ def instantiate_embedding(node_type, class_object, params: Dict):
 
 def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
     search_kwargs = params.pop("search_kwargs", {})
+    if search_kwargs == {"yourkey": "value"}:
+        search_kwargs = {}
     # clean up docs or texts to have only documents
     if "texts" in params:
         params["documents"] = params.pop("texts")