diff --git a/docs/context_aware_processing.md b/docs/context_aware_processing.md
index 563ea01..487eb9e 100644
--- a/docs/context_aware_processing.md
+++ b/docs/context_aware_processing.md
@@ -117,8 +117,8 @@ rag_anything.update_context_config(
 
 ```python
 from raganything.modalprocessors import (
-    ContextExtractor, 
-    ContextConfig, 
+    ContextExtractor,
+    ContextConfig,
     ImageModalProcessor
 )
 
@@ -371,4 +371,4 @@ Check out these example files for complete usage demonstrations:
 For detailed API documentation, see the docstrings in:
 - `raganything/modalprocessors.py` - Context extraction and modal processors
 - `raganything/config.py` - Configuration options
-- `raganything/raganything.py` - Main RAGAnything class integration 
\ No newline at end of file
+- `raganything/raganything.py` - Main RAGAnything class integration
diff --git a/examples/modalprocessors_example.py b/examples/modalprocessors_example.py
index 7742b47..dedce0e 100644
--- a/examples/modalprocessors_example.py
+++ b/examples/modalprocessors_example.py
@@ -96,7 +96,7 @@ async def process_image_example(lightrag: LightRAG, vision_model_func):
     }
 
     # Process image
-    description, entity_info = await image_processor.process_multimodal_content(
+    (description, entity_info, _) = await image_processor.process_multimodal_content(
         modal_content=image_content,
         content_type="image",
         file_path="image_example.jpg",
@@ -128,7 +128,7 @@ async def process_table_example(lightrag: LightRAG, llm_model_func):
     }
 
     # Process table
-    description, entity_info = await table_processor.process_multimodal_content(
+    (description, entity_info, _) = await table_processor.process_multimodal_content(
         modal_content=table_content,
         content_type="table",
         file_path="table_example.md",
@@ -151,7 +151,7 @@ async def process_equation_example(lightrag: LightRAG, llm_model_func):
     equation_content = {"text": "E = mc^2", "text_format": "LaTeX"}
 
     # Process equation
-    description, entity_info = await equation_processor.process_multimodal_content(
+    (description, entity_info, _) = await equation_processor.process_multimodal_content(
         modal_content=equation_content,
         content_type="equation",
         file_path="equation_example.txt",