optimize query speed

document_processor.py

@@ -9,7 +9,32 @@ except ImportError:
     from langchain.text_splitter import RecursiveCharacterTextSplitter
 
 from langchain_community.document_loaders import WebBaseLoader
-from langchain_community.vectorstores import Milvus
+
+# 尝试导入 langchain_milvus，如果失败则回退到 langchain_community 并应用补丁
+try:
+    from langchain_milvus import MilvusVectorStore as Milvus
+    print("✅ 使用 langchain-milvus (新版)")
+except ImportError:
+    try:
+        from langchain_community.vectorstores import Milvus
+        print("⚠️ 使用 langchain_community.vectorstores.Milvus (旧版)")
+        
+        # Monkeypatch: 修复旧版 LangChain 对 Milvus Lite 本地文件路径的校验问题
+        # 旧版 _create_connection_alias 强制要求 URI 以 http/https 开头
+        def _patched_create_connection_alias(self, connection_args):
+            uri = connection_args.get("uri")
+            # 为本地文件生成唯一的 alias
+            if uri:
+                import hashlib
+                return hashlib.md5(uri.encode()).hexdigest()
+            return "default"
+            
+        # 应用补丁
+        Milvus._create_connection_alias = _patched_create_connection_alias
+        print("🔧 已应用 Milvus Lite 路径校验补丁")
+    except ImportError:
+        pass
+
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_community.retrievers import BM25Retriever