Update app.py

app.py

@@ -114,7 +114,7 @@ print("Created new vector store and persisted embeddings.")
 bm25_retriever = BM25Retriever.from_documents(all_splits,search_kwargs={"score_threshold": 0.7})
 ensemble_retriever = EnsembleRetriever(
     retrievers=[
-        vectorstore.as_retriever(search_kwargs={"score_threshold": 0.5}),
+        vectorstore.as_retriever(),
         bm25_retriever
     ],
     weights=[0.9, 0.1]