diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py
index 36403241..699a961f 100644
--- a/lightrag/api/lightrag_server.py
+++ b/lightrag/api/lightrag_server.py
@@ -1381,15 +1381,15 @@ def create_app(args):
 
             # Insert into the RAG queue
             if content:
-                await rag.apipeline_enqueue_documents(content)
-                logging.info(
-                    f"Successfully processed and enqueued file: {file_path.name}"
-                )
+                has_new_docs = await rag.apipeline_enqueue_documents(content)
+                if has_new_docs:
+                    logging.info(f"Successfully processed and enqueued file: {file_path.name}")
+                else:
+                    logging.info(f"File content already exists, skipping: {file_path.name}")
                 return True
             else:
-                logging.error(
-                    f"No content could be extracted from file: {file_path.name}"
-                )
+                logging.error(f"No content could be extracted from file: {file_path.name}")
+                return False
 
         except Exception as e:
             logging.error(
diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py
index 09a8df3f..ea45929e 100644
--- a/lightrag/lightrag.py
+++ b/lightrag/lightrag.py
@@ -653,7 +653,7 @@ class LightRAG:
             if update_storage:
                 await self._insert_done()
 
-    async def apipeline_enqueue_documents(self, input: str | list[str]):
+    async def apipeline_enqueue_documents(self, input: str | list[str]) -> bool:
         """
         Pipeline for Processing Documents
 
@@ -691,11 +691,12 @@ class LightRAG:
 
         if not new_docs:
             logger.info("No new unique documents were found.")
-            return
+            return False
 
         # 4. Store status document
         await self.doc_status.upsert(new_docs)
         logger.info(f"Stored {len(new_docs)} new unique documents")
+        return True
 
     async def apipeline_process_enqueue_documents(
         self,