Update app.py

app.py

@@ -206,7 +206,7 @@ def search_embeddings(chunks, embedding_model, vector_store_type, search_type, q
     retriever = get_retriever(vector_store, search_type, {"k": top_k})
 
     start_time = time.time()
-    results = retriever.get_relevant_documents(preprocessed_query)
+    results = retriever.invoke(preprocessed_query)
     
     # Apply phonetic matching
     results = sorted(results, key=lambda x: (1 - phonetic_weight) * vector_store.similarity_search(x.page_content, k=1)[0][1] +