diff --git a/application/retriever/brave_search.py b/application/retriever/brave_search.py
index 29666a578..1fd844b26 100644
--- a/application/retriever/brave_search.py
+++ b/application/retriever/brave_search.py
@@ -75,7 +75,6 @@ def gen(self):
         if len(self.chat_history) > 1:
             tokens_current_history = 0
             # count tokens in history
-            self.chat_history.reverse()
             for i in self.chat_history:
                 if "prompt" in i and "response" in i:
                     tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string(
diff --git a/application/retriever/classic_rag.py b/application/retriever/classic_rag.py
index b87b58524..6a67cb380 100644
--- a/application/retriever/classic_rag.py
+++ b/application/retriever/classic_rag.py
@@ -78,7 +78,6 @@ def gen(self):
         if len(self.chat_history) > 1:
             tokens_current_history = 0
             # count tokens in history
-            self.chat_history.reverse()
             for i in self.chat_history:
                 if "prompt" in i and "response" in i:
                     tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string(
@@ -97,7 +96,6 @@ def gen(self):
         llm = LLMCreator.create_llm(
             settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=self.user_api_key
         )
-
         completion = llm.gen_stream(model=self.gpt_model, messages=messages_combine)
         for line in completion:
             yield {"answer": str(line)}
diff --git a/application/retriever/duckduck_search.py b/application/retriever/duckduck_search.py
index d746ecaa9..6ae562269 100644
--- a/application/retriever/duckduck_search.py
+++ b/application/retriever/duckduck_search.py
@@ -92,7 +92,6 @@ def gen(self):
         if len(self.chat_history) > 1:
             tokens_current_history = 0
             # count tokens in history
-            self.chat_history.reverse()
             for i in self.chat_history:
                 if "prompt" in i and "response" in i:
                     tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string(