Update functions.py

functions.py

@@ -73,8 +73,8 @@ def embed_text(query,corpus,embedding_model):
         passages_emb = ['passage: ' + sentence for sentence in corpus]
 
     elif embedding_model == 'hkunlp/instructor-base':
-        search_input = [['Represent the Financial question for retrieving supporting documents: ', query]]
-        passages_emb = [['Represent the Financial document for retrieval: ',sentence] for sentence in corpus]
+        search_input = [['Represent the Financial question for retrieving supporting paragraphs: ', query]]
+        passages_emb = [['Represent the Financial paragraph for retrieval: ',sentence] for sentence in corpus]
 
     else:
         search_input = query