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Beyond the major AI frameworks, Docling integrates with a rich ecosystem of tools and platforms for document processing, data preparation, knowledge graphs, and enterprise solutions.

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Knowledge Graphs & Semantic AI

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Semantica

Semantica Docling is natively integrated with Semantica, an open-source framework for building semantic layers and knowledge graphs from unstructured data. By combining Docling’s high-fidelity parsing with Semantica’s knowledge engineering, you can transform complex documents into AI-ready, structured knowledge for GraphRAG and multi-agent systems. Key Features:
  • Native DoclingParser integration
  • Knowledge Graph & RDF Triplet construction
  • Entity normalization & deduplication
  • Automated ontology generation
Example: 
from semantica.parse import DoclingParser
from semantica.semantic_extract import TripletExtractor

# Parse with Docling
parser = DoclingParser(enable_ocr=True)
result = parser.parse("earnings_call.pdf")

# Extract semantic triplets
extractor = TripletExtractor()
triplets = extractor.extract_triplets(result["full_text"])

Documentation

Semantica docs

GitHub

Source code

Example

Earnings analysis notebook

PyPI

Install package

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Cloud Platforms

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Apify

Run Docling Actor on Apify Run Docling in the cloud without installation using the Docling Actor on the Apify platform. Example: 
apify call vancura/docling -i '{
  "options": {
    "to_formats": ["md", "json", "html", "text", "doctags"]
  },
  "http_sources": [
    {"url": "https://arxiv.org/pdf/2408.09869"}
  ]
}'
Benefits:
  • No local installation required
  • Cloud-based processing
  • Multiple output formats
  • API and CLI access

Run on Apify

Docling Actor

Documentation

Actor docs

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Performance & Optimization

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Metaxy

Metaxy Combine Docling with Metaxy, a framework for optimizing compute-intensive workloads. Teams can save compute costs while accelerating experimentation for multimodal and HPC-oriented document processing workloads.

Documentation

Metaxy docs

Example

Docling + Metaxy example

Walkthrough

HPC walkthrough

Slides

Presentation

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Low-Code & Visual Platforms

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Langflow

Docling is available on Langflow, a visual low-code platform for building AI applications.

Documentation

Langflow Docling docs

Video Tutorial

Video guide

GitHub

Langflow repository

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Kotaemon

Docling is available in Kotaemon as the DoclingReader loader for RAG applications.

Documentation

DoclingReader docs

Setup Guide

Configuration

GitHub

Kotaemon repository

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Data Processing & Preparation

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Data Prep Kit

Docling is used by the Data Prep Kit for preparing unstructured data at scale, from laptop to datacenter. Components:
  • PDF to Parquet - Batch document conversion
  • Document Chunking - Intelligent text chunking

PDF2Parquet

PDF ingestion docs

Doc Chunking

Chunking docs

GitHub

Data Prep Kit repository

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NLP & Text Processing

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spaCy Layout

Docling is available in spaCy as the spaCy Layout plugin for NLP pipelines.

Documentation

SpacyLayout docs

Blog Post

Announcement

GitHub

Source code

PyPI

Install package

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txtai

Docling is available as a text extraction backend for txtai.

Documentation

txtai docs

Integration

Docling backend

GitHub

txtai repository

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Annotation & Labeling

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Prodigy

Docling is available in Prodigy as a Prodigy-PDF plugin recipe for document annotation.

Prodigy Home

Prodigy platform

PDF Plugin

Plugin docs

Recipe

pdf-spans.manual recipe

Blog Post

Announcement

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Enterprise & AI Platforms

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InstructLab

Docling powers document processing in InstructLab, enabling knowledge extraction for AI model fine-tuning.

InstructLab Home

Platform overview

Documentation

InstructLab docs

UI

InstructLab UI

Blog Post

Red Hat announcement

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NVIDIA AI Blueprints

Docling powers NVIDIA’s PDF to Podcast agentic AI blueprint.

Blueprint

PDF to Podcast

GitHub

Source code

Announcement

NVIDIA News

Blog

Agentic AI blog

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Additional Integrations

Docling is also used in:
  • Red Hat AI - Enterprise AI platform
  • Cloudera - Enterprise data platform
  • Quarkus - Java framework integration
  • Bee Agent - Agent framework
  • Arconia - Document platform
  • DocETL - Document ETL pipelines
  • Hector - Document processing
  • OpenContracts - Contract analysis
  • OpenWebUI - Web interface
  • Vectara - Neural search platform
For the complete list of integrations, visit the Docling integrations directory.

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Integration Ecosystem

Docling’s rich integration ecosystem enables:
1

Flexible Deployment

Use Docling locally, in the cloud, or at datacenter scale
2

Framework Choice

Work with your preferred AI framework or platform
3

Specialized Workflows

Leverage domain-specific tools for your use case
4

Production Ready

Deploy with enterprise-grade platforms and tools

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Next Steps

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