no llm

app.py

@@ -25,6 +25,7 @@ def load_indices():
     """Load the index and create retrievers"""
     # Load embeddings
     embed_model = HuggingFaceEmbedding(model_name="multi-qa-MiniLM-L6-cos-v1")
+    Settings.llm = None
     Settings.embed_model = embed_model
     
     # Load index
@@ -94,13 +95,12 @@ if search_query:
             # Format score to 3 decimal places
             score = f"{node.score:.3f}" if hasattr(node, 'score') else "N/A"
             
-            # Main text expander
+            # Create expandable container with new title format
             with st.expander(f"Result {i} (score: {score})\n\n{preview}", expanded=False):
                 st.markdown(node.text)
-            
-            # Separate metadata expander
-            if node.metadata:
-                with st.expander(f"Result {i} - Metadata", expanded=False):
+                if node.metadata:
+                    st.markdown("---")
+                    st.markdown("**Source:**")
                     st.json(node.metadata)
 
 # Add sidebar with information