updates suggestion searcher

suggestion_searcher.py

@@ -17,7 +17,6 @@ class SuggestionSearcher:
         
         dense_query = self.dense_model.encode(text).tolist()
         sparse_query = next(self.sparse_model.query_embed(text))
-        # late_query = next(self.late_interaction_model.query_embed(text))
 
         prefetch = [
                 models.Prefetch(
@@ -34,11 +33,12 @@ class SuggestionSearcher:
 
         search_result = self.qdrant_client.query_points(
             collection_name= self.collection_name,
+            search_params=models.SearchParams(
+            quantization=models.QuantizationSearchParams(rescore=False),hnsw_ef=64, exact=False),
             prefetch=prefetch,
             query=models.FusionQuery(
                 fusion=models.Fusion.RRF,
             ),
-            # using=LATE_INTERACTION_MODEL,
             with_payload=True,
             limit = 5
         ).points