Generating Structured Outputs from Unstructured Content Using LLMs

Long, unstructured documents can be difficult to find, manage, and work with for both people and AI. A clear structure is essential for transforming and dividing disorganized content into smaller, usable, and more valuable information assets. A well-formed content structure enables componentization of content and the ability to add content to a knowledge graph. It also facilitates efficient reuse, personalization, and discoverability across platforms and contexts. At Text Analytics Forum 2025, Joe Hilger and Kyle Garcia of Enterprise Knowledge discussed how combining large language models (LLMs) with content models enables LLMs to reference structured blueprints that define components and their required elements.