Lectures
Product ontologies as backbone for GenAI
Product ontologies without GenAI are frozen – GenAI without product ontologies is blind! In this talk, we will explain our approach where a set of product ontologies forms the backbone for LLM-based chats. Considering that LLM-based chats are error-prone in 3 out of 10 cases, we have developed several product ontologies as the core of our knowledge graph, extending the iiRDS ontology for technical information. By representing product portfolios, products and/or product variants and product features, a knowledge graph provides context for LLM-based chats and enables powerful, reliable applications such as product or service recommendations.

From legacy Systems to DITA: Case Studies in Successful Migration
Sofia Darie, Karsten Schrempp. From Legacy Systems to DITA: Case Studies in Successful Migration, February 2025.

The integration of technical documentation in Product Information Management Systems powered by Knowledge Graphs and LLMs
Dr. Amir Laadhar, Nikhil Acharya. Generative AI driven by Knowledge Graphs for technical documentation questions answering. tcworld, November 2024.

Leveraging Business Q&A with LLMs over Product Knowledge Graphs
Dr. Amir Laadhar, Nikhil Acharya. Leveraging Business Q&A with LLMs over Product Knowledge Graphs. SEMANTICS, September 2024.
Contact us
Maraike Heim
Head of Marketing
- maraike.heim@pantopix.com
