Skill Detail
Turn documents into validated knowledge graphs with Docling Graph
Convert documents into schema-enforced entities and graph relationships when the job is exact knowledge extraction rather than generic document parsing.
Data Extraction & TransformationMulti-Framework
Data Extraction & Transformation
Multi-Framework
Security Reviewed
⭐ 134 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill turn-documents-into-validated-knowledge-graphs-with-docling-graph
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python 3.10+, docling-graph package, source documents supported by Docling, optional model provider credentials for remote LLM extraction
Install & setup
Install docling-graph from the documented package path, configure the desired local or remote extraction backend, initialize the project config, then run the convert pipeline with a template that defines the target graph schema.
Author
docling-project
Publisher
Organization
Last updated
Apr 21, 2026
Quick brief
Use Docling Graph when an agent needs to extract a schema-shaped knowledge graph from one or more documents, validate the result, and export graph-friendly outputs. A user should invoke this instead of using a general document parser normally when the real job is document-to-graph transformation with explicit entities, relationships, and template-backed validation. That scope boundary, validated knowledge-graph extraction from documents, keeps this distinct from generic parsing libraries and broader graph platforms.