Prepare enterprise documents for AI with Docling for IBM watsonx on AWS
IBM and Red Hat Blog
This article explains how Docling for IBM watsonx converts unstructured enterprise documents into structured, AI-ready data for generative AI applications on AWS.
- Preserves document hierarchy, tables, figures, reading order, and layout during conversion
- Produces structure-aware chunks that maintain context for improved retrieval accuracy
- Integrates with AWS Lambda, Amazon S3, Amazon OpenSearch Service, and IBM watsonx Orchestrate
- Supports business intelligence workflows through AWS Glue, Athena, and Amazon QuickSight
- Enables custom machine learning with Amazon SageMaker using structured document outputs
- Priced at $4 per 1,000 pages with no minimum commitment
By preserving document structure during extraction, organizations can build more effective RAG pipelines and AI agent workflows with richer, more accurate context.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Dec 3
2025
2025
Enable AI with enterprise data using new IBM watsonx.data features on AWS
Sep 2
2026
2026
Enable AI & automation for your enterprise content with IBM Content Cortex
Jul 14
2026
2026
Build a semantic ontology to power AI assistants on AWS – Part 1
Oct 28
2025
2025
Building Agentic Workflows with IBM watsonx Orchestrate on AWS
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.