.

app/api/search.py

@@ -3,7 +3,7 @@ from pydantic import BaseModel
 from app.core.embedding import embedder
 from app.core.config import settings
 from llama_index.vector_stores.faiss import FaissVectorStore
-from llama_index import VectorStoreIndex, ServiceContext, StorageContext
+from llama_index import VectorStoreIndex, ServiceContext, StorageContext, load_index_from_storage
 import os
 import logging
 import faiss  # 引入faiss
@@ -52,9 +52,9 @@ def search_docs(request: QueryRequest, user_id: str = Query(..., description="
         service_context = ServiceContext.from_defaults(embed_model=embedder, llm=None)
         logger.info("Service context created successfully.")
 
-        # 创建 VectorStoreIndex 并加载文本与向量
-        index = VectorStoreIndex.from_storage_context(storage_context)
-        logger.info("VectorStoreIndex created successfully.")
+        # 使用 load_index_from_storage 加载索引
+        index = load_index_from_storage(storage_context)
+        logger.info("VectorStoreIndex loaded successfully.")
 
         # 检索结果（包含文本）
         retriever = index.as_retriever(similarity_top_k=settings.TOP_K)