Code Updated

semantic_search.py

@@ -25,7 +25,7 @@ class EnhancedSemanticSearchEvaluator:
     def compute_similarity(self, model, query, matches):
         query_embedding = model.encode(query, convert_to_tensor=True)
         match_embeddings = model.encode(
-            [str(match['metadata']) for match in matches], convert_to_tensor=True
+            [match['metadata'] for match in matches], convert_to_tensor=True
         )
         scores = util.pytorch_cos_sim(query_embedding, match_embeddings).squeeze(0).tolist()
         return scores