[add] The application layer introduces the clustering community-retrieval module

api/app/repositories/neo4j/create_indexes.py

@@ -119,6 +119,18 @@ async def create_vector_indexes():
             }}
         """)
         print("✓ Created: summary_embedding_index")
+
+        # Community summary embedding index
+        await connector.execute_query("""
+            CREATE VECTOR INDEX community_summary_embedding_index IF NOT EXISTS
+            FOR (c:Community)
+            ON c.summary_embedding
+            OPTIONS {indexConfig: {
+              `vector.dimensions`: 1024,
+              `vector.similarity_function`: 'cosine'
+            }}
+        """)
+        print("✓ Created: community_summary_embedding_index")
         
         # Dialogue embedding index (optional)
         await connector.execute_query("""