bm = 25, semantic = 25. hybrid = 50, cutoff = 0.7, topk_reranker= 40

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  
+            similarity_top_k=25 
         )
         
         vector_retriever = VectorIndexRetriever(
             index=vector_index, 
-            similarity_top_k=20,  
+            similarity_top_k=25,  
             similarity_cutoff=0.6
         )
         
         hybrid_retriever = QueryFusionRetriever(
             [vector_retriever, bm25_retriever],
-            similarity_top_k=40,  
+            similarity_top_k=50,  
             num_queries=1
         )