update application file

app.py

@@ -85,9 +85,19 @@ def insert_chunks(chunks):
 def expand_query(query):
     try:
         prompt = f"""Expand the following short questions into a more detailed search query
-that includes synonyms and related HR terms, but also restate the keywords clearly:
+that includes synonyms and related HR terms, but also restate the keywords clearly.
 
-{query}
+Examples:
+
+Q: Who should I contact if I am sick?
+Expanded: Who should I notify or contact if I am ill, unwell, or absent due to sickness — such as my Deputy Head or line manager.
+
+Q: What do I do if I am late?
+Expanded: What procedure should I follow if I expect to be late, delayed, or absent for work — who must I contact, for example my Deputy Head or line manager?
+
+Now expand this query in the same way:
+Q: {query}
+Expanded:
 """
         response = openai_client.chat.completions.create(
             model = "gpt-4.1-mini",
@@ -120,7 +130,7 @@ def search_weaviate(query, k=12):
         # Keep results above a relevance threshold
         if (distance is None or distance < 1.2) or (certainty and certainty >0.3):
             filtered_objects.append(o)
-            
+
     return [(o.properties["text"], o.metadata.distance)for o in result.objects] 
 
 def rerank_chunks_with_llm(query, chunks):