Knowledge Retention and Use with RAG-Enhanced Generative AI

Abstract

The loss of tacit knowledge, constituting the majority of organizational knowledge, significantly impairs an organization’s ability to compete. Traditionally, research and practice have focused on preventing knowledge loss through human- and technology-centered strategies. Nowadays Generative Artificial Intelligence (GAI) is disrupting many industries and brings a great paradigm shift for knowledge management. In particular the Retrieval Augmented Generation (RAG) capability emerges as a promising solution to combine the world knowledge of Large Language Models (LLMs) with domain-specific knowledge of companies.