diff --git a/chatbotcore/contextual_chunks.py b/chatbotcore/contextual_chunks.py
index 7632586..9b7a6a0 100644
--- a/chatbotcore/contextual_chunks.py
+++ b/chatbotcore/contextual_chunks.py
@@ -50,7 +50,7 @@ class ContextualChunking:
     """Context retrieval for the chunk documents"""
 
     model: Any = field(init=False)
-    model_type: Enum = LLMType.OLLAMA
+    model_type: LLMType = LLMType.OLLAMA
 
     def __post_init__(self):
         if self.model_type == LLMType.OLLAMA:
@@ -59,7 +59,7 @@ def __post_init__(self):
             self.model = OpenAIHandler()
         else:
             logger.error("Wrong LLM Type")
-            raise ValueError("Wront LLM Type")
+            raise ValueError("Wrong LLM Type")
 
     def get_prompt(self):
         """Creates a prompt"""
diff --git a/chatbotcore/doc_loaders.py b/chatbotcore/doc_loaders.py
index c1c6861..1f00791 100644
--- a/chatbotcore/doc_loaders.py
+++ b/chatbotcore/doc_loaders.py
@@ -9,6 +9,7 @@
 from langchain_community.document_loaders import WebBaseLoader
 
 from chatbotcore.contextual_chunks import ContextualChunking
+from utils import LLMType
 
 
 @dataclass(kw_only=True)
@@ -22,7 +23,7 @@ class DocumentLoader:
     context_retrieval: ContextualChunking = field(init=False)
 
     def __post_init__(self):
-        self.context_retrieval = ContextualChunking(model_type=settings.LLM_TYPE)
+        self.context_retrieval = ContextualChunking(model_type=LLMType(int(settings.LLM_TYPE)))
 
     def _get_split_documents_with_recursive_char(self, documents: List[Document], multiplier: int = 3):
         """