---
title: "Turn documents into validated knowledge graphs with Docling Graph"
description: "Convert documents into schema-enforced entities and graph relationships when the job is exact knowledge extraction rather than generic document parsing."
verification: "listed"
source: "https://github.com/docling-project/docling-graph"
author: "docling-project"
publisher_type: "organization"
category:
  - "Data Extraction & Transformation"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "docling-project/docling-graph"
  github_stars: 134
---

# 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.

## Prerequisites

Python 3.10+, docling-graph package, source documents supported by Docling, optional model provider credentials for remote LLM extraction

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
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.
```

## Documentation

- https://docling-project.github.io/docling-graph/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/turn-documents-into-validated-knowledge-graphs-with-docling-graph/)