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Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
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Michele Dolfi 2024-10-30 07:23:51 +01:00
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README.md
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@ -24,7 +24,7 @@ Docling parses documents and exports them to the desired format with ease and sp
* 🗂️ Multi-format support for input (PDF, DOCX, PPTX, HTML, AsciiDoc, MarkDown) and output (Markdown, JSON, YAML)
* 📑 Advanced PDF document understanding incl. page layout, reading order & table structures
* 🧩 Strongly typed Pydantic v2 data structure named [DoclingDocument](https://github.com/DS4SD/docling-core/blob/main/docling_core/types/doc/document.py#L945) which supports hierarchies and provides native iterators and chunkers.
* 🧩 Strongly typed Pydantic v2 data structure named [DoclingDocument](https://ds4sd.github.io/docling/concepts/docling_document/) which supports hierarchies and provides native iterators and chunkers.
* 📝 Metadata extraction, including title, authors, references & language
* 🤖 Seamless LlamaIndex 🦙 & LangChain 🦜🔗 integration for powerful RAG / QA applications
* 🔍 OCR support for scanned PDFs

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docs/concepts/docling_document.md
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@ -7,6 +7,8 @@ pydantic datatype, which can express several features common to documents, such
* Layout information (i.e. bounding boxes) for all items, if available
* Provenance information
The definition of the Pydantic types is implemented in the module `docling_core.types.doc`, more details in [source code definitions](https://github.com/DS4SD/docling-core/tree/main/docling_core/types/doc).
It also brings a set of document construction APIs to build up a `DoclingDocument` from scratch.
## Example document structures