a tiny VLM that fits into the docling toolchain that converts PDF->html/markdown painlessly
this addition is now the default for docling
huggingface.co/collections/...
a tiny VLM that fits into the docling toolchain that converts PDF->html/markdown painlessly
this addition is now the default for docling
huggingface.co/collections/...
The first release (0.1.3) of the #Docling #Java library has been released! This first release brings the power of #Docling to #Java!
Many thanks to Michele Dolfi, @thomasvitale.com, and Alex Soto for their help and collaboration!
docling-project.github.io/docling-java/
The first release (0.1.3) of the #Docling #Java library has been released! This first release brings the power of #Docling to #Java!
Many thanks to Michele Dolfi, @thomasvitale.com, and Alex Soto for their help and collaboration!
docling-project.github.io/docling-java/
Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
Repo: github.com/DS4SD/docling
Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
Repo: github.com/DS4SD/docling
github.com/DS4SD/docling
#NLPSky
github.com/DS4SD/docling
#NLPSky
github.com/docling-proj... completes the #DoclingServe api implementation!
github.com/docling-proj... introduced validation handling!
Thanks to everyone who was involved!
@thomasvitale.com #AndreaCosentino
docling-project.github.io/docling-java...
github.com/docling-proj... completes the #DoclingServe api implementation!
github.com/docling-proj... introduced validation handling!
Thanks to everyone who was involved!
@thomasvitale.com #AndreaCosentino
docling-project.github.io/docling-java...
Docling is an open-source Python package that transforms any document into LLM ready data!
Key feats:
🔍 OCR for scanned PDFs
🗂️ PDF, PPTX, DOCX & more → Markdown, JSON
🤖 Integrates with LlamaIndex & LangChain
GitHub repo: https://github.com/DS4SD/docling
Docling is an open-source Python package that transforms any document into LLM ready data!
Key feats:
🔍 OCR for scanned PDFs
🗂️ PDF, PPTX, DOCX & more → Markdown, JSON
🤖 Integrates with LlamaIndex & LangChain
GitHub repo: https://github.com/DS4SD/docling
You might want to give Docling a try.
𝗪𝗵𝗮𝘁'𝘀 𝗗𝗼𝗰𝗹𝗶𝗻𝗴?
• Python package by IBM
• OS (MIT license)
• PDF, DOCX, PPTX → Markdown, JSON
𝗪𝗵𝘆 𝘂𝘀𝗲 𝗗𝗼𝗰𝗹𝗶𝗻𝗴?
• Doesn’t require fancy gear, lots of memory, or cloud services
• Works on regular computers or Google Colab Pro
You might want to give Docling a try.
𝗪𝗵𝗮𝘁'𝘀 𝗗𝗼𝗰𝗹𝗶𝗻𝗴?
• Python package by IBM
• OS (MIT license)
• PDF, DOCX, PPTX → Markdown, JSON
𝗪𝗵𝘆 𝘂𝘀𝗲 𝗗𝗼𝗰𝗹𝗶𝗻𝗴?
• Doesn’t require fancy gear, lots of memory, or cloud services
• Works on regular computers or Google Colab Pro
https://buff.ly/3Z7jcAw
#docling #aiml #ml #genai
https://buff.ly/3Z7jcAw
#docling #aiml #ml #genai
Learn to build a Retrieval Augmented Generation system in Java using Spring AI and Docling for advanced, privacy-focused document processing.
www.thomasvitale.com/rag-docling-...
Learn to build a Retrieval Augmented Generation system in Java using Spring AI and Docling for advanced, privacy-focused document processing.
www.thomasvitale.com/rag-docling-...
👉 Le code : github.com/ds4sd/doc...
👉 En savoir plus : ds4sd.github.io/docl...
👉 Le code : github.com/ds4sd/doc...
👉 En savoir plus : ds4sd.github.io/docl...
www.thomasvitale.com/rag-docling-...
www.thomasvitale.com/rag-docling-...
github.com/quarkiverse/...
github.com/docling-proj...
Give it a try!
github.com/quarkiverse/...
github.com/docling-proj...
Give it a try!
📚 process PDFs, Word documents & more
📝 structured text-based output via spaCy's Doc object
🏷 layout spans for sections, headings etc.
🔮 apply NLP pipelines to PDF contents
✂️ chunk your data for RAG
github.com/explosion/sp...
📚 process PDFs, Word documents & more
📝 structured text-based output via spaCy's Doc object
🏷 layout spans for sections, headings etc.
🔮 apply NLP pipelines to PDF contents
✂️ chunk your data for RAG
github.com/explosion/sp...
This one shows the full pipeline: PDF ingestion → embeddings → retrieval → guardrails → answers.
It’s clean, fast, and enterprise-ready.
buff.ly/9nDml6J
#Java #Quarkus #AI #RAG #Docling