Docling

📑 Is your RAG ready for industrialization? 🏭 I’m sharing a new sample application that swaps out #Unstructured-io for #Docling to power DataStax #AstraDB Serverless implementations. A scalable document intelligence. See the full breakdown below! 👇 ➡️ https://lnkd.in/eEERss49 or ➡️ https://lnkd.in/ewgF84wt #IBMBob

Η ελληνική νομοθεσία είναι δημόσια διαθέσιμη, αλλά δεν είναι πάντα εύκολο να την εξερευνήσεις με τρόπο που να είναι πραγματικά χρήσιμος για ένα LLM. Γι’ αυτό έφτιαξα ένα μικρό side project: ένα LLM-friendly wiki για ελληνικά νομικά έγγραφα, που μετατρέπει PDF από το Εθνικό Τυπογραφείο σε δομημένη, διασυνδεδεμένη γνώση. Για το parsing των PDF χρησιμοποίησα το Docling, μετατρέποντας τα έγγραφα σε markdown, και πάνω σε αυτό έστησα ένα wiki-based knowledge structure με συνδέσεις και διασυνδέσεις ανάμεσα στα documents. Αφορμή και έμπνευση για το project ήταν και το παρακάτω project, το οποίο βρήκα τυχαία στο GitHub: https://lnkd.in/dsqUmhN2 Τα έγγραφα τα αντλώ από εδώ: https://lnkd.in/dabPMbEX Αν θέλετε να ρίξετε μια ματιά στο πώς εφάρμοσα το LLM wiki του Karpathy: Repo: https://lnkd.in/dCw52ypp Article: https://lnkd.in/d8r4dB2C Feedback και ιδέες είναι πάντα ευπρόσδεκτες.

Check out the tutorial Talib ul haq and I just published on IBM Developer focusing on building an end-to-end document processing pipeline using Docling Serve (deployed on IBM Code Engine) and watsonx Orchestrate! 🤖📄 If you’re working with PDFs or unstructured documents, this shows how to extract structured text, tables, and layout-aware content that AI agents can actually act on 💡 🔑 𝐊𝐞𝐲 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬: - Extraction of structured data from complex documents (tables, layouts, text) 📊 - API-first document processing with Docling Serve for easy integration 🔌 - Reusable, scalable service across workflows (no more one-off scripts) ♻️ - Faster, lightweight deployments with docling-serve-cpu (no GPU/CUDA needed) ⚡ - Direct integration with watsonx Orchestrate 🔗 - This tutorial presents a practical approach to move from document parsing to real production workflows 🏗️ 📘 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥: https://lnkd.in/e-pm7mBn Ahmed Azraq Moisés Domínguez Michele Dolfi, PhD Peter W. J. Staar #AI #agents #IBM #watsonxorchestrate #Docling #watsonx

Join Mingxuan Z. and I for a Docling workshop at PyCon Austria this weekend! It's a free event with a wide range of talks, hands-on workshops, and networking opportunities. "Workshop: Learn to Unlock Document Intelligence with Open-Source AI" will be on Sunday, April 19, at 10:00-12:00 in room E.HG 209. More details including location and registration: https://2026.pycon.at/

Check out the tutorial Talib ul haq and I just published on IBM Developer focusing on building an end-to-end document processing pipeline using Docling Serve (deployed on IBM Code Engine) and watsonx Orchestrate! 🤖📄 If you’re working with PDFs or unstructured documents, this shows how to extract structured text, tables, and layout-aware content that AI agents can actually act on 💡 🔑 𝐊𝐞𝐲 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬: - Extraction of structured data from complex documents (tables, layouts, text) 📊 - API-first document processing with Docling Serve for easy integration 🔌 - Reusable, scalable service across workflows (no more one-off scripts) ♻️ - Faster, lightweight deployments with docling-serve-cpu (no GPU/CUDA needed) ⚡ - Direct integration with watsonx Orchestrate 🔗 - This tutorial presents a practical approach to move from document parsing to real production workflows 🏗️ 📘 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥: https://lnkd.in/e-pm7mBn Ahmed Azraq Moisés Domínguez Michele Dolfi, PhD Peter W. J. Staar #AI #agents #IBM #watsonxorchestrate #Docling #watsonx

𝗖𝗮𝗹𝗹𝗶𝗻𝗴 𝗔𝗹𝗹 𝗗𝗼𝗰𝗹𝗶𝗻𝗴 𝗘𝗻𝘁𝗵𝘂𝘀𝗶𝗮𝘀𝘁𝘀! In this next installment of Docling Office hours, we will be hearing from Georg Heiler, who will be discussing how his organization went from patent PDFs to auditable chemical intelligence - A technical field report on combining Docling + Metaxy + Ray + Dagster for reviewable high-quality patent processing The Docling team will also be giving some recent project updates. As well as a special announcement on the new Docling Service! And as always, plenty of time for questions! 𝗛𝗼𝘄 𝘁𝗼 𝗝𝗼𝗶𝗻: Meeting link: https://lnkd.in/ea2T32-A Public Project Calendar (iCal): https://lnkd.in/gSY4_ZJR 𝗦𝘁𝗮𝘆 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱: Subscribe to our LF AI announcement list to receive updates about future meetings: https://lnkd.in/g3J-dsrn 𝗛𝗲𝗹𝗽 𝗨𝘀 𝗣𝗿𝗲𝗽𝗮𝗿𝗲: Please take a moment to complete our short survey so we can tailor the content to your interests and needs: https://lnkd.in/gjdZJWrs We look forward to seeing you there!

IBM's Phil Nash introduces OpenRAG, a new open-source stack integrating Docling, OpenSearch Project, and Langflow for building powerful RAG systems. Discover the flexible components and how they streamline AI agent development. AI Engineer

Do you use IBM Docling at work? Let's chat! I'm hosting a Community Event soon in Singapore and we have some exciting news to share! Mingxuan Z. Michele Dolfi, PhD Ben Castle Khai Wei Ong Randy Phoa #docling