Leveraging AI for Enterprise Search and Discovery with GraphRAG
Details
Satish Patil
Founder - Kanlet
PhD - University of Minnesota
https://www.linkedin.com/in/drsatishpatil/
Enterprise knowledge is rarely stored in one place. It lives across across data silos. Traditional search systems struggle to connect this fragmented information in a meaningful way.
GraphRAG (Graph-based Retrieval Augmented Generation) using AI is emerging as a powerful approach to solve this problem. By combining knowledge graphs, semantic retrieval, and large language models, GraphRAG enables systems that understand relationships between entities, context across documents, and deeper reasoning over enterprise data.
In this session, we will explore how GraphRAG can transform enterprise search and discovery, moving beyond keyword lookup toward contextual intelligence.