This research combines Retrieval-Augmented Generation (RAG) with Extended Reality (XR) to create conversational AI agents that bridge knowledge gaps in industrial settings.

• Enables hands-free, context-aware expert guidance for workers in complex environments
• Embeds domain-specific industrial knowledge into natural language interfaces
• Creates accessible expert systems that respond to voice commands in real-time
• Demonstrates practical applications in aerospace component servicing and maintenance

For aerospace operations, this technology offers a revolutionary approach to knowledge transfer, reducing training time and errors during critical maintenance procedures while preserving institutional expertise.

Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents