diff --git a/crazy_functions/Rag_Interface.py b/crazy_functions/Rag_Interface.py
index 0de42b0c..d83d8ca5 100644
--- a/crazy_functions/Rag_Interface.py
+++ b/crazy_functions/Rag_Interface.py
@@ -4,10 +4,14 @@ from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_
 
 VECTOR_STORE_TYPE = "Milvus"
 
+if VECTOR_STORE_TYPE == "Milvus":
+    try:
+        from crazy_functions.rag_fns.milvus_worker import MilvusRagWorker as LlamaIndexRagWorker
+    except:
+        VECTOR_STORE_TYPE = "Simple"
+
 if VECTOR_STORE_TYPE == "Simple":
     from crazy_functions.rag_fns.llama_index_worker import LlamaIndexRagWorker
-if VECTOR_STORE_TYPE == "Milvus":
-    from crazy_functions.rag_fns.milvus_worker import MilvusRagWorker as LlamaIndexRagWorker
 
 
 RAG_WORKER_REGISTER = {}
diff --git a/crazy_functions/rag_fns/llama_index_worker.py b/crazy_functions/rag_fns/llama_index_worker.py
index 761d6943..7a559927 100644
--- a/crazy_functions/rag_fns/llama_index_worker.py
+++ b/crazy_functions/rag_fns/llama_index_worker.py
@@ -59,6 +59,11 @@ class SaveLoad():
     def create_new_vs(self):
         return GptacVectorStoreIndex.default_vector_store(embed_model=self.embed_model)
 
+    def purge(self):
+        import shutil
+        shutil.rmtree(self.checkpoint_dir, ignore_errors=True)
+        self.vs_index = self.create_new_vs()
+
 
 class LlamaIndexRagWorker(SaveLoad):
     def __init__(self, user_name, llm_kwargs, auto_load_checkpoint=True, checkpoint_dir=None) -> None:
diff --git a/requirements.txt b/requirements.txt
index 99c841e2..13c0bb56 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,9 +6,7 @@ zhipuai==2.0.1
 tiktoken>=0.3.3
 requests[socks]
 pydantic==2.5.2
-llama-index==0.10.47
-llama-index-vector-stores-milvus==0.1.16
-pymilvus==2.4.2
+llama-index==0.10
 protobuf==3.20
 transformers>=4.27.1,<4.42
 scipdf_parser>=0.52