BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.devconf.info//devconf-us-2025//talk//TRFQCB
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-devconf-us-2025-TRFQCB@pretalx.devconf.info
DTSTART;TZID=EST:20250920T102000
DTEND;TZID=EST:20250920T105500
DESCRIPTION:Docling\, an open source package\, is rapidly becoming the de f
 acto standard for document parsing and export in the Python community. Ear
 ning close to 30\,000 GitHub in less than one year and now part of the Lin
 ux AI & Data Foundation. Docling is redefining document AI with its ease a
 nd speed of use. In this session\, we’ll introduce Docling and its featu
 res\, including how: \n\n- Support for a wide array of formats—such as P
 DFs\, DOCX\, PPTX\, HTML\, images\, and Markdown—and easy conversion to 
 structured Markdown or JSON. \n- Advanced document understanding through c
 apture of intricate page layouts\, reading order\, and table structures—
 ideal for complex analysis.\n- Integration of the DoclingDocument format w
 ith popular AI frameworks—such as LlamaIndex. LangChain\, LlamaStack for
  retrieval-augmented generation (RAG) and QA applications.\n- Optical char
 acter recognition (OCR) support for scanned documents.\n- Support of Visua
 l Language Models like SmolDocling created in collaboration with Hugging F
 ace.\n- A user-friendly command line interface (CLI) and MCP connectors fo
 r developers.\n- How to use it as-a-service and at scale by deploy your ow
 n docling-serve.
DTSTAMP:20260311T011957Z
LOCATION:Ladd Room (Capacity 170)
SUMMARY:Docling: Get your documents ready for gen AI - Michele Dolfi\, Pete
 r Willem Jan Staar
URL:https://pretalx.devconf.info/devconf-us-2025/talk/TRFQCB/
END:VEVENT
END:VCALENDAR