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https://github.com/HKUDS/RAG-Anything.git
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fix lint
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@@ -117,8 +117,8 @@ rag_anything.update_context_config(
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```python
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```python
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from raganything.modalprocessors import (
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from raganything.modalprocessors import (
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ContextExtractor,
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ContextExtractor,
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ContextConfig,
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ContextConfig,
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ImageModalProcessor
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ImageModalProcessor
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)
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)
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@@ -371,4 +371,4 @@ Check out these example files for complete usage demonstrations:
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For detailed API documentation, see the docstrings in:
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For detailed API documentation, see the docstrings in:
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- `raganything/modalprocessors.py` - Context extraction and modal processors
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- `raganything/modalprocessors.py` - Context extraction and modal processors
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- `raganything/config.py` - Configuration options
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- `raganything/config.py` - Configuration options
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- `raganything/raganything.py` - Main RAGAnything class integration
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- `raganything/raganything.py` - Main RAGAnything class integration
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@@ -96,7 +96,7 @@ async def process_image_example(lightrag: LightRAG, vision_model_func):
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}
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}
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# Process image
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# Process image
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description, entity_info = await image_processor.process_multimodal_content(
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(description, entity_info, _) = await image_processor.process_multimodal_content(
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modal_content=image_content,
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modal_content=image_content,
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content_type="image",
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content_type="image",
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file_path="image_example.jpg",
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file_path="image_example.jpg",
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@@ -128,7 +128,7 @@ async def process_table_example(lightrag: LightRAG, llm_model_func):
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}
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}
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# Process table
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# Process table
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description, entity_info = await table_processor.process_multimodal_content(
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(description, entity_info, _) = await table_processor.process_multimodal_content(
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modal_content=table_content,
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modal_content=table_content,
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content_type="table",
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content_type="table",
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file_path="table_example.md",
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file_path="table_example.md",
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@@ -151,7 +151,7 @@ async def process_equation_example(lightrag: LightRAG, llm_model_func):
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equation_content = {"text": "E = mc^2", "text_format": "LaTeX"}
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equation_content = {"text": "E = mc^2", "text_format": "LaTeX"}
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# Process equation
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# Process equation
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description, entity_info = await equation_processor.process_multimodal_content(
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(description, entity_info, _) = await equation_processor.process_multimodal_content(
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modal_content=equation_content,
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modal_content=equation_content,
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content_type="equation",
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content_type="equation",
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file_path="equation_example.txt",
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file_path="equation_example.txt",
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