Update concat_vector_store.py

concat_vector_store.py

@@ -10,7 +10,7 @@ NEW_FOLDER = "new_documents"  # Folder containing the new documents
 VECTOR_STORE_PATH = "vector_db"
 
 # 1. Loading the embedding model
-def get_embeddings(model_name="intfloat/multilingual-e5-large-instruct", device="cuda"):
+def get_embeddings(model_name="sentence-transformers/all-MiniLM-L6-v2", device="cuda"):
     return E5Embeddings(
         model_name=model_name,
         model_kwargs={'device': device},