Update README.md

README.md

@@ -1363,7 +1363,10 @@ query_embedding = np.asarray(query_embedding)
 
 # Compute dot score between query embedding and document embeddings
 dot_scores = np.matmul(query_embedding, doc_embeddings.transpose())[0]
-top_k_hits = np.argpartition(dot_scores, -top_k)[-top_k:]
+top_k_hits = np.argpartition(dot_scores, -top_k)[-top_k:].tolist()
+
+# Sort top_k_hits by dot score
+top_k_hits.sort(key=lambda x: dot_scores[x], reverse=True)
 
 # Print results
 print("Query:", query)