diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py
index edec85f1..f36f73b0 100644
--- a/lightrag/lightrag.py
+++ b/lightrag/lightrag.py
@@ -469,9 +469,8 @@ class LightRAG:
                     error_msg = f"Failed to process document {doc_id}: {str(e)}\n{traceback.format_exc()}"
                     logger.error(error_msg)
                     continue
-
-                finally:
-                    # Ensure all indexes are updated after each document
+                else:
+                    # Only update index when processing succeeds
                     await self._insert_done()
 
     def insert_custom_chunks(self, full_text: str, text_chunks: list[str]):
diff --git a/lightrag/utils.py b/lightrag/utils.py
index ce556ab2..f36e03e2 100644
--- a/lightrag/utils.py
+++ b/lightrag/utils.py
@@ -479,9 +479,7 @@ async def handle_cache(hashing_kv, args_hash, prompt, mode="default"):
     quantized = min_val = max_val = None
     if is_embedding_cache_enabled:
         # Use embedding cache
-        embedding_model_func = hashing_kv.global_config[
-            "embedding_func"
-        ].func  # ["func"]
+        embedding_model_func = hashing_kv.global_config["embedding_func"]["func"]
         llm_model_func = hashing_kv.global_config.get("llm_model_func")
 
         current_embedding = await embedding_model_func([prompt])