init

main.py

@@ -21,15 +21,13 @@ embedding_model = SentenceTransformer('Alibaba-NLP/gte-large-en-v1.5',
 )
 collection_name="rag"
 
-def setup_milvus():
-    global milvus_client
-    milvus_client = MilvusClientSingleton.get_instance(uri="/app/milvus_data/milvus_demo.db")
+
+global milvus_client
+milvus_client = MilvusClientSingleton.get_instance(uri="/app/milvus_data/milvus_demo.db")
 
 def document_to_embeddings(content:str) -> list:
     return embedding_model.encode(content, show_progress_bar=True)
 
-setup_milvus()
-
 app = FastAPI()
 
 app.add_middleware(