.

app/api/search.py

@@ -56,6 +56,10 @@ def search_docs(request: QueryRequest, user_id: str = Query(..., description="
         index = load_index_from_storage(storage_context)
         logger.info("VectorStoreIndex loaded successfully.")
 
+        # 设置索引的 ServiceContext
+        index.set_service_context(service_context)
+        logger.info("Service context set to index.")
+
         # 将用户查询通过本地模型生成嵌入向量
         query_vector = embedder.encode([request.query])  # 使用本地模型生成查询的嵌入向量
         logger.info(f"Generated query embedding: {query_vector}")