fix: rename ChunksHybridSearchRetriever and add embedding error handling

surfsense_backend/app/retriever/chunks_hybrid_search.py

@@ -1,7 +1,10 @@
+import logging
 from datetime import datetime
 
+logger = logging.getLogger(__name__)
 
-class ChucksHybridSearchRetriever:
+
+class ChunksHybridSearchRetriever:
     def __init__(self, db_session):
         """
         Initialize the hybrid search retriever with a database session.
@@ -39,8 +42,12 @@ async def vector_search(
         from app.db import Chunk, Document
 
         # Get embedding for the query
-        embedding_model = config.embedding_model_instance
-        query_embedding = embedding_model.embed(query_text)
+        try:
+            embedding_model = config.embedding_model_instance
+            query_embedding = embedding_model.embed(query_text)
+        except Exception as e:
+            logger.error(f"fail to call embedding model: {e!s}")
+            return []
 
         # Build the query filtered by search space
         query = (

surfsense_backend/app/services/connector_service.py

@@ -16,14 +16,14 @@
     SearchSourceConnector,
     SearchSourceConnectorType,
 )
-from app.retriever.chunks_hybrid_search import ChucksHybridSearchRetriever
+from app.retriever.chunks_hybrid_search import ChunksHybridSearchRetriever
 from app.retriever.documents_hybrid_search import DocumentHybridSearchRetriever
 
 
 class ConnectorService:
     def __init__(self, session: AsyncSession, search_space_id: int | None = None):
         self.session = session
-        self.chunk_retriever = ChucksHybridSearchRetriever(session)
+        self.chunk_retriever = ChunksHybridSearchRetriever(session)
         self.document_retriever = DocumentHybridSearchRetriever(session)
         self.search_space_id = search_space_id
         self.source_id_counter = (