diff --git a/src/search_type/symmetric_ledger.py b/src/search_type/symmetric_ledger.py
index a82b9337..b7b23a39 100644
--- a/src/search_type/symmetric_ledger.py
+++ b/src/search_type/symmetric_ledger.py
@@ -22,7 +22,7 @@ def initialize_model():
     "Initialize model for symetric semantic search. That is, where query of similar size to results"
     torch.set_num_threads(4)
     bi_encoder = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2') # The encoder encodes all entries to use for semantic search
-    top_k = 100                                                                       # Number of entries we want to retrieve with the bi-encoder
+    top_k = 30                                                                        # Number of entries we want to retrieve with the bi-encoder
     cross_encoder = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')              # The cross-encoder re-ranks the results to improve quality
     return bi_encoder, cross_encoder, top_k