content

content.py

@@ -1058,6 +1058,8 @@ def search_embeddings():
         # Sort the sentences by their cosine similarity to the query sentence
         results = sorted(zip(sentences, cosine_scores, files), key=lambda x: x[1], reverse=True)
 
+        print(results[:5])
+
         # Print the top 5 results
         for i, (sentence, score, file) in enumerate(results[:5]):
             print(f'Top {i+1}: {file} - {sentence} - (Score: {score})')