NEWS.md

In doclingr: Document Intelligence via 'Docling'

doclingr 0.1.1

• docling_chunk() gains a doc_items list-column with per-item provenance: self_ref, label, page and a 1-based inclusive character span (char_start/char_end) locating each occurrence within the originating item's text (populated by layout analysis; NA for formats without provenance, such as Markdown sources).
• New docling_write_chunks() persists chunk tibbles — including embedding and other list-columns — to Parquet or Feather via the arrow package (new optional dependency in Suggests), for hand-off to Python, DuckDB and other Arrow-aware RAG tooling.
• vignette("options") gains a "Model cache and offline use" section covering HF_HOME and HF_HUB_OFFLINE for air-gapped machines.
• Confirmed compatible with Docling 2.143.1 (full test suite).

doclingr 0.1.0

First release: an R interface to Docling for document intelligence and RAG.

• docling_convert() converts a file path or URL (or a vector of them) into a docling_document, with pipeline options for OCR, table mode, accelerator device/threads and image generation.
• Exporters as_markdown(), as_text(), as_html(), as_json() and as_doctags().
• docling_tables() returns detected tables as a list of tibbles.
• docling_figures() returns figure captions/pages and can save images; docling_n_pages() reports the page count.
• docling_chunk() produces RAG-ready chunks as a tidy tibble, with hybrid and hierarchical chunkers, tokenizer/max_tokens control, and pages/ n_doc_items metadata.
• docling_embed() attaches embeddings from any user-supplied embedding function, with batching.
• install_docling() / docling_available() manage the Python backend.

doclingr documentation built on Oct. 28, 2026, 1:07 a.m.