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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.