Update functions.py

functions.py

@@ -401,20 +401,7 @@ def create_helpfulness_checker(llm):
     return helpfulness_grader
 
 
-def grade_document_relevance(question: str, document: str, retrieval_grader):
-    input_data = {"documents": documents,"question": question, }
-    try:
-        result = retrieval_grader.invoke(input_data)
-        return result
-    except Exception as e:
-        print(f"Error parsing result: {e}")
-        return {"score": "no"}  # Default to "no" if there is an error
-
-# Example usage
-question = "What are the types of agent memory?"
-documents = "Agents can have various types of memory, such as short-term memory and long-term memory."
-grade = grade_document_relevance(documents,question )
-print(grade)  # Expected output: {'value': 'yes'}
+
 
 
 def create_hallucination_checker(llm):