new ways

index_retriever.py

@@ -16,18 +16,18 @@ def create_query_engine(vector_index):
     try:
         bm25_retriever = BM25Retriever.from_defaults(
             docstore=vector_index.docstore, 
-            similarity_top_k=20  # Reduced from 15 for better recall
+            similarity_top_k=20  
         )
         
         vector_retriever = VectorIndexRetriever(
             index=vector_index, 
-            similarity_top_k=35,  # Increased from 25
-            similarity_cutoff=0.65  # CRITICAL: Lowered from 0.8 - this was filtering too aggressively
+            similarity_top_k=30, 
+            similarity_cutoff=0.7  
         )
         
         hybrid_retriever = QueryFusionRetriever(
             [vector_retriever, bm25_retriever],
-            similarity_top_k=40,  # Increased from 30 to get more diverse results
+            similarity_top_k=40,  
             num_queries=1
         )