diff --git a/core/quivr_core/brain/brain_defaults.py b/core/quivr_core/brain/brain_defaults.py
index 5e613447ffab..e96a13eb2720 100644
--- a/core/quivr_core/brain/brain_defaults.py
+++ b/core/quivr_core/brain/brain_defaults.py
@@ -39,7 +39,7 @@ def default_embedder() -> Embeddings:
         return embedder
     except ImportError as e:
         raise ImportError(
-            "Please provide a valid Embedder or install quivr-core['base'] package for using the defaultone."
+            "Please provide a valid Embedder or install quivr-core['base'] package for using the default one."
         ) from e
 
 
diff --git a/core/quivr_core/llm/llm_endpoint.py b/core/quivr_core/llm/llm_endpoint.py
index afb1a0e83885..2ebd5876509b 100644
--- a/core/quivr_core/llm/llm_endpoint.py
+++ b/core/quivr_core/llm/llm_endpoint.py
@@ -39,7 +39,7 @@ def __init__(self, llm_config: LLMEndpointConfig, llm: BaseChatModel):
                 self.tokenizer = AutoTokenizer.from_pretrained(llm_config.tokenizer_hub)
             except OSError:  # if we don't manage to connect to huggingface and/or no cached models are present
                 logger.warning(
-                    f"Cannot acces the configured tokenizer from {llm_config.tokenizer_hub}, using the default tokenizer {llm_config.fallback_tokenizer}"
+                    f"Cannot access the configured tokenizer from {llm_config.tokenizer_hub}, using the default tokenizer {llm_config.fallback_tokenizer}"
                 )
                 self.tokenizer = tiktoken.get_encoding(llm_config.fallback_tokenizer)
         else:
diff --git a/core/quivr_core/rag/utils.py b/core/quivr_core/rag/utils.py
index f9c053555475..dc7a9eb38923 100644
--- a/core/quivr_core/rag/utils.py
+++ b/core/quivr_core/rag/utils.py
@@ -28,7 +28,7 @@ def model_supports_function_calling(model_name: str):
     return model_name not in models_not_supporting_function_calls
 
 
-def format_history_to_openai_mesages(
+def format_history_to_openai_messages(
     tuple_history: List[Tuple[str, str]], system_message: str, question: str
 ) -> List[BaseMessage]:
     """Format the chat history into a list of Base Messages"""