.

app/api/search.py

@@ -4,6 +4,10 @@ from app.core.embedding import embedder  # 使用已加载的本地嵌入模型
 from app.core.config import settings
 from llama_index.vector_stores.faiss import FaissVectorStore
 from llama_index import VectorStoreIndex, ServiceContext, StorageContext, load_index_from_storage
+
+from llama_index import set_global_service_context, ServiceContext
+
+
 import os
 import logging
 import faiss  # 引入faiss
@@ -44,16 +48,18 @@ def search_docs(request: QueryRequest, user_id: str = Query(..., description="
         vector_store = FaissVectorStore(faiss_index=faiss_index)
         logger.info("FaissVectorStore created successfully.")
 
-        # 创建 StorageContext 实例（确保同时加载文本和向量）
-        storage_context = StorageContext.from_defaults(persist_dir=index_path, vector_store=vector_store)
-        logger.info("Storage context created successfully.")
-
         # 创建 ServiceContext 实例，确保使用本地嵌入模型，且明确禁用 LLM
         service_context = ServiceContext.from_defaults(embed_model=embedder, llm=None, llm_predictor=None)
         logger.info("Service context created successfully.")
 
+        set_global_service_context(service_context)
+
+        # 创建 StorageContext 实例（确保同时加载文本和向量）
+        storage_context = StorageContext.from_defaults(persist_dir=index_path, vector_store=vector_store)
+        logger.info("Storage context created successfully.")
+
         # 使用 load_index_from_storage 加载索引
-        index = load_index_from_storage(storage_context, service_context)
+        index = load_index_from_storage(storage_context)
         logger.info("VectorStoreIndex loaded successfully.")
 
         # 设置索引的 ServiceContext

llama_index/indices/loading.py

@@ -62,10 +62,6 @@ def load_indices_from_storage(
         **kwargs: Additional keyword args to pass to the index constructors.
     """
 
-     # 使用 kwargs 获取 service_context
-    service_context = kwargs.get('service_context', None)
-
-
     if index_ids is None:
         logger.info("Loading all indices.")
         index_structs = storage_context.index_store.index_structs()
@@ -83,17 +79,11 @@ def load_indices_from_storage(
         type_ = index_struct.get_type()
         index_cls = INDEX_STRUCT_TYPE_TO_INDEX_CLASS[type_]
 
-        # index = index_cls(
-        #     index_struct=index_struct, storage_context=storage_context, **kwargs
-        # )
-
-        # 显式传递service_context，确保禁用OpenAI
         index = index_cls(
-            index_struct=index_struct, 
-            storage_context=storage_context, 
-            service_context=service_context,  # 确保每个索引使用正确的service_context
-            **kwargs
+            index_struct=index_struct, storage_context=storage_context, **kwargs
         )
+
+      
         indices.append(index)
     return indices