At STELLIGENCE’ Tech Meeting 3, the STELLIGENCE team presented a pioneering approach to understanding and managing AI outputs with their introduction of the Hallucination Framework. This framework aims to define and identify “hallucinations” or inaccuracies in AI-generated content, underscoring the necessity of transparency and reliability in AI systems. The team emphasized the critical role of Explainable AI (XAI) in fostering trust and accessibility, allowing users to comprehend how AI models arrive at their conclusions. 

In their presentation, the STELLIGENCE team conducted a live demo of RAG integrated with Vector Search and Knowledge Graph technologies, illustrating their combined potential to enhance AI’s capabilities. They highlighted how Vector Search and Knowledge Graphs together offer a superior search mechanism, providing more precise and relevant results. This synergy exemplifies the “better together” approach in AI, showcasing cutting-edge advancements and underscoring the role of innovation and collaboration in advancing the field.