DITA-Driven Graph RAG For Customer Self-Service Support

Gain insights into the future of knowledge management and customer support during this groundbreaking session on graph-driven retrieval-augmented generation (Graph RAG) powered by the Darwin Information Typing Architecture (DITA). This approach introduces a new and novel model to the industry called DOM Graph RAG, short for Document Object Model Graph RAG.

Watch Michael Iantosca, Senior Director of Knowledge Platforms and Engineering at Avalara, and Helmut Nagy, Chief Product Officer at Semantic Web Company, as they unravel the complexities of DITA-powered Graph RAG and demonstrate this innovative solution.

Attendees will explore how structured content is revolutionizing generative AI’s capabilities, particularly in delivering accurate answers to self-service customer support queries without falling prey to AI hallucinations. Discover the pivotal role that knowledge graphs play in enhancing information delivery and how DITA can power the creation and upkeep of scalable knowledge graphs. This isn’t just theory; you’ll gain practical, actionable insights that your team can implement to leverage generative AI applications effectively.

Expect an in-depth review of model construction, solution building, and the theoretical underpinnings that make it all work. Learn how DITA, considered outdated by some, has emerged as a cornerstone technology for neuro-symbolic generative AI, enabling advanced inferencing and reasoning through a state-of-the-art chatbot. This recorded session promises to equip attendees with the knowledge to replicate these cutting-edge approaches within their organizations.

Interested in reading more about DOM Graph RAG? Get access to the full paper HERE. 

This educational web presentation is brought to you by The Content Wrangler.