~/talk

Learn to Unlock Document Intelligence with Open-Source AI

Talkat PyData London 2026 · on Friday, 2026-06-05· at 09:00· Doddington Forum· [machine-learning, ai-assisted-development]
name:Ming Zhao
links:none on file
slides:none on file

Docling is an MIT‑licensed Python library that actually converts 15+ file formats into a structured intermediate Docling document using OCR, layout models, Granite VLMs, Replicate/Hugging Face models and exports to markdown/HTML/JSON. The workshop shows chunking tuned to embedding windows, building a multimodal RAG with visual grounding (LangChain + Chroma + Granite embeddings) and extracting charts, tables and coordinates. Real numbers: a partner processes hundreds of millions of pages and reports processing 918M pages for $35,000 versus $750k for OCR only.

AI-written summary · about

  1. 0:00Introduction
  2. 1:51What is Dockling and why it matters
  3. 10:25Document conversion basics
  4. 21:37Extracting tables and images
  5. 39:34Chunking for RAG
  6. 54:21Advanced features
  7. 1:00:21Multimodal RAG system
  8. 1:15:19Accuracy evaluation
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.