Key Insights on DOM Graph RAG

This leaflet highlights the main points of the Document Object Model Graph RAG project that introduces an innovative approach to Retrieval-Augmented Generation (RAG) in artificial intelligence, overcoming the limitations of traditional vector databases. By leveraging Document Object Model (DOM) structures and knowledge graphs, it grounds the large language models used in intelligent applications and enhances the accuracy and reliability of AI-generated content, especially in high-stakes environments. Unlike vector-based systems that struggle with context loss, the DOM Graph RAG model preserves content integrity and enables multi-hop reasoning. 

Authors (of original paper):
Michael Iantosca
Senior Director of Knowledge Platforms and Engineering
Avalara Inc.

Helmut Nagy
Chief Product Officer
Semantic Web Company GmbH

William Sandri
Data & Knowledge Engineer
Semantic Web Company GmbH