修改引用逻辑，修改长期记忆bug

rag_core/embedders.py

@@ -5,11 +5,9 @@
 import os
 import httpx
 from typing import List, Optional
-from urllib.parse import urljoin
 
 from langchain_core.embeddings import Embeddings
 
-
 class LlamaCppEmbedder:
     """通过 OpenAI 兼容 API 封装 llama.cpp 嵌入服务。"""
 
@@ -17,7 +15,7 @@ class LlamaCppEmbedder:
         self,
         base_url: Optional[str] = None,
         api_key: Optional[str] = None,
-        model: str = "embeddinggemma-300M-Q8_0",
+        model: str = "Qwen3-Embedding-0.6B-Q8_0",
     ):
         self.base_url = base_url or os.getenv("LLAMACPP_EMBEDDING_URL", "http://127.0.0.1:8082")
         self.api_key = api_key or os.getenv("LLAMACPP_API_KEY", "")
@@ -71,7 +69,6 @@ class LlamaCppEmbedder:
             else:
                 raise ValueError(f"未知的嵌入 API 响应格式: {data}")
 
-
 class _LlamaCppLangchainAdapter(Embeddings):
     """将 LlamaCppEmbedder 适配为 LangChain Embeddings 接口。"""