Docling transforms unstructured documents—PDFs, DOCX, PPTX—into structured JSON or Markdown. On Shakudo, it's pre-integrated within a production-grade, scalable environment where it talks natively with vector databases, orchestration tools, and custom AI models. That means zero setup friction: you're running Docling across org-wide documents in hours, not months, with native support for caching, access control, and automation workflows.

Many teams struggle to operationalize document parsing at scale due to siloed pipelines and the need for constant DevOps intervention. With Shakudo, you route inputs and outputs from Docling into your stack—whether that’s RAG pipelines, prompt engineering tools, or fine-tuning jobs—without needing additional glue code or infrastructure decisions. It becomes a plug-and-play layer in your AI system.

A team tried using Docling alone and spent four weeks building wrappers, monitoring jobs, and connecting their results to a LangChain pipeline. On Shakudo, they dropped the Docling block into an existing AI workflow, authenticated automatically with their data lake and downstream tools, and shipped a working prototype in under 48 hours.