docs/examples - docling-project/docling

Get your documents ready for gen AI

56663 0 0 Python

	data
	advanced_chunking_and_serialization.ipynb	35.2 KB
	backend_csv.ipynb	3.5 KB
	backend_xml_rag.ipynb	44.0 KB
	batch_convert.py	6.2 KB
	compare_vlm_models.py	6.7 KB
	custom_convert.py	5.9 KB
	develop_formula_understanding.py	3.0 KB
	develop_picture_enrichment.py	3.3 KB
	dpk-ingest-chunk-tokenize.ipynb	30.8 KB
	enrich_doclingdocument.py	4.1 KB
	export_figures.py	3.4 KB
	export_multimodal.py	3.5 KB
	export_tables.py	1.5 KB
	extraction.ipynb	34.2 KB
	full_page_ocr.py	1.4 KB
	hybrid_chunking.ipynb	22.5 KB
	index.md	1.6 KB
	inspect_picture_content.py	920 B
	minimal_asr_pipeline.py	1.8 KB
	minimal_vlm_pipeline.py	1.1 KB
	minimal.py	288 B
	pictures_description_api.py	4.7 KB
	pictures_description.ipynb	767.5 KB
	rag_azuresearch.ipynb	94.1 KB
	rag_haystack.ipynb	15.7 KB
	rag_langchain.ipynb	14.8 KB
	rag_llamaindex.ipynb	19.3 KB
	rag_milvus.ipynb	17.3 KB
	rag_weaviate.ipynb	39.9 KB
	rapidocr_with_custom_models.py	1.6 KB
	retrieval_qdrant.ipynb	14.0 KB
	run_md.py	1.2 KB
	run_with_accelerator.py	2.0 KB
	run_with_formats.py	2.6 KB
	serialization.ipynb	72.0 KB
	tesseract_lang_detection.py	1.0 KB
	translate.py	2.7 KB
	visual_grounding.ipynb	1.2 MB
	vlm_pipeline_api_model.py	7.3 KB