coding

app.py

@@ -95,7 +95,7 @@ def answer_question(repo_id, temperature, max_length, question):
         with st.spinner("正在筛选本地数据集..."):
             question_embedding = st.session_state.embeddings.embed_query(question)
             # question_embedding_str = " ".join(map(str, question_embedding))
-            docs_and_scores = st.session_state.db.similarity_search_by_vector(question_embedding, 8)
+            docs_and_scores = st.session_state.db.similarity_search_by_vector(question_embedding)
 
             context_list = []
             for doc, score in docs_and_scores: