InScub-LabbyPier-Jean Malandrino·2d agoDocling Studio 0.7.3 — Chunkless RAG: Let the Agent Read the Table of ContentsNo chunks, no embeddings, no vector store. An agent reads the document’s map, opens only what the question needs, and every quote it…A response icon1A response icon1
Mohammad Anwar Siddiqui·4d agoBuilding a Self-Hosted Multimodal RAG System Using n8n, Ollama, Qdrant, and DoclingHow I Built an Automated AI-Powered Document Search System Using Open-Source TechnologiesA response icon1A response icon1
Alain Airom (Ayrom)·Oct 29Turning Books into Actionable Agent Skills: A Deep Dive into book-to-skill (and Docling)Implementing and testing book-to-skill with a personal touch!A response icon2A response icon2
InDesi StackbyYogesh Haribhau Kulkarni (PhD)·Oct 25Ask the SyllabusWhen Plain RAG Fails on a PDF, Build Structure Instead
khadejalearns·Oct 24I Built a Local Multimodal RAG Pipeline for the Ugly StuffI present to you kaiRAG — my attempt at making engineering documentation a little less painful for RAG systems.A response icon1A response icon1
Sanchitrote·Oct 21Stop Hardcoding Secrets in Your AI Pipelines: How We Brought HashiCorp Vault to Docling PipelinesFrom plain-text API keys and container environment sprawl to zero-leak enterprise security — an architectural deep dive and hands-on guide…
Jyoti·Oct 19The Architecture of Visual Document AI: Building Multi-Source RAG with Open-Source Docling…Move beyond lossy text scrapers and brittle Python glue code. Discover how Docling Pipelines couples IBM’s state-of-the-art Docling layout…
Alain Airom (Ayrom)·Oct 13Building Document Intelligence with docling-contextImplementing docling-context!A response icon1A response icon1
Issa Hammoud·Oct 10Docling vs ColPali: multimodal RAG in productionQuicksort organized a meetup in Paris, where I presented multimodal RAG in production. Docling is a popular document-ingestion solution…
Prashanth Lande·Oct 2Beyond OCR: How Docling Let Me Upgrade to a Vision-Language Model Without Rewriting My PipelineChoosing a document parser for its output format, not just its OCR accuracy, turned out to be the best decision I made for my pipeline…
