Knowledge-Augmented LLMs for Trustworthy Data Systems

Speaker:  Arijit Khan – Bowling Green, USA
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing , Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

Knowledge‑augmented LLMs offer a promising path toward trustworthy data systems by grounding generative reasoning in structured knowledge. This talk highlights how knowledge graph‑enhanced RAG (KG-RAG) improves reliability in entity matching, schema matching, and question answering through semantically rich retrieval, relation‑aware context construction, and multi‑hop reasoning. I will outline recent advances and emerging challenges in building accurate, transparent, and robust KG‑RAG pipelines for real‑world data‑centric applications.

About this Lecture

Number of Slides:  40
Duration:  60 minutes
Languages Available:  English
Last Updated:  18/02/2026

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