State of Play on LLM and RAG: Preparing your Knowledge Organization for Generative AI

Sponsored by: Graphwise

Generative AI and Large Language Models (LLMs) are revolutionizing enterprise knowledge management by enabling seamless knowledge capture, efficient content creation, and simplified information retrieval. This study, sponsored by Graphwise, conducted with 382 executives across various industries, explores the adoption, use cases, and challenges of integrating LLMs and Retrieval-Augmented Generation (RAG) technologies in organizational frameworks.

Key Insights:

• Widespread Adoption: 85% of organizations are exploring or deploying LLMs, with content creation and knowledge discovery as primary applications.
• Enhanced Productivity: 67% of respondents cite improved employee productivity as a major benefit, while 65% highlight accelerated knowledge access.
• RAG as a Game-Changer: Nearly 30% are integrating RAG to bridge the gap between corporate databases and LLMs, enabling real-time, actionable insights.
• Security and Quality Concerns:71% of respondents view data quality and security as critical risks, emphasizing the need for human oversight.

Download this study to discover how your organization can lead the AI-driven future of knowledge management with the power of LLM and RAG.