Update rag_engine.py

rag_engine.py

@@ -404,7 +404,7 @@ def answer_with_llm(query, context=None, word_limit=100):
             llm_model = st.secrets["LLM_MODEL"]
         except KeyError:
             print("❌ Error: LLM model not found in secrets")
-            return "I apologize, but I'm unable to answer at the moment."
+            return "I apologize, but I am unable to answer at the moment."
             
         response = openai.chat.completions.create(
             model=llm_model,
@@ -426,7 +426,7 @@ def answer_with_llm(query, context=None, word_limit=100):
         return answer
     except Exception as e:
         print(f"❌ LLM API error: {str(e)}")
-        return "I apologize, but I'm unable to answer at the moment."
+        return "I apologize, but I am unable to answer at the moment."
 
 def format_citations(sources):
     """
@@ -458,7 +458,7 @@ def cached_process_query(query, top_k=5, word_limit=100):
     """
     Process a user query with caching to avoid redundant computation.
     
-    This function is cached with a time-to-live (TTL) of 1 hour, meaning identical 
+    This function is cached with a Time-To-Live (TTL) of 1 hour, meaning identical 
     queries within this time period will return cached results rather than 
     reprocessing, improving responsiveness.