update webui.py

configs/model_config.py

@@ -69,7 +69,7 @@ LLM_HISTORY_LEN = 3
 # return top-k text chunk from vector store
 VECTOR_SEARCH_TOP_K = 5
 
-# 如果为0，则不生效，经测试小于500值的结果更精准
+# 知识检索内容相关度 Score, 数值范围0-1000，如果为0，则不生效，经测试设置为小于500时，匹配结果更精准
 VECTOR_SEARCH_SCORE_THRESHOLD = 0
 
 NLTK_DATA_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "nltk_data")

webui.py

@@ -57,7 +57,7 @@ def get_answer(query, vs_path, history, mode, score_threshold=VECTOR_SEARCH_SCOR
         else:
             source = "".join(
                 [
-                    f"""<details> <summary>[score值]：{doc.metadata["score"]} - （{i + 1}）[出处]：  {os.path.split(doc.metadata["source"])[-1]}</summary>\n"""
+                    f"""<details> <summary>【出处{i + 1}】：  {os.path.split(doc.metadata["source"])[-1]} - 【内容匹配相关度 Score】：{doc.metadata["score"]}</summary>\n"""
                     f"""{doc.page_content}\n"""
                     f"""</details>"""
                     for i, doc in