修改引用逻辑，修改长期记忆bug

rag_core/vector_store.py

@@ -13,7 +13,7 @@ from qdrant_client import QdrantClient
 from qdrant_client.http.models import Distance, VectorParams
 from httpx import RemoteProtocolError
 from qdrant_client.http.exceptions import ResponseHandlingException
-from .client import create_qdrant_client
+from rag_core.client import create_qdrant_client
 
 logger = logging.getLogger(__name__)
 
@@ -35,7 +35,7 @@ class QdrantVectorStore:
         self._last_connection_time: Optional[float] = None
 
         if embeddings is None:
-            from .embedders import LlamaCppEmbedder
+            from rag_core.embedders import LlamaCppEmbedder
             embedder = LlamaCppEmbedder()
             self.embeddings = embedder.as_langchain_embeddings()
         else:
@@ -96,7 +96,7 @@ class QdrantVectorStore:
     def create_collection(self, vector_size: Optional[int] = None, force_recreate: bool = False):
         """创建集合，设置合适的向量维度。"""
         if vector_size is None:
-            from .embedders import LlamaCppEmbedder
+            from rag_core.embedders import LlamaCppEmbedder
             embedder = LlamaCppEmbedder()
             vector_size = embedder.get_embedding_dimension()