diff --git a/src/khoj/processor/embeddings.py b/src/khoj/processor/embeddings.py
index 1e92f27d..a4daa24f 100644
--- a/src/khoj/processor/embeddings.py
+++ b/src/khoj/processor/embeddings.py
@@ -27,5 +27,5 @@ class CrossEncoderModel:
 
     def predict(self, query, hits: List[SearchResponse]):
         cross__inp = [[query, hit.additional["compiled"]] for hit in hits]
-        cross_scores = self.cross_encoder_model.predict(cross__inp)
+        cross_scores = self.cross_encoder_model.predict(cross__inp, apply_softmax=True)
         return cross_scores
diff --git a/src/khoj/search_type/text_search.py b/src/khoj/search_type/text_search.py
index 041c385f..d6f27cea 100644
--- a/src/khoj/search_type/text_search.py
+++ b/src/khoj/search_type/text_search.py
@@ -224,7 +224,7 @@ def cross_encoder_score(query: str, hits: List[SearchResponse]) -> List[SearchRe
 
     # Convert cross-encoder scores to distances and pass in hits for reranking
     for idx in range(len(cross_scores)):
-        hits[idx]["cross_score"] = -1 * cross_scores[idx]
+        hits[idx]["cross_score"] = 1 - cross_scores[idx]
 
     return hits