An inside look at building a RAG-powered AI agent for HR

Industry experts David Stewart from Cohere and Edward Robinson from Borderless AI discussed the innovative application of large language models (LLMs) in Human Resources (HR) during a webinar, focusing on their collaboration to create global HR solutions using generative AI and retrieval-augmented generation (RAG). Their joint project, the AI-powered HR assistant Alberni, aims to simplify global HR processes by handling tasks such as contract creation, vacation requests, and understanding HR laws in multiple languages. Alberni's design emphasizes simplicity and intuitive user interaction, which enhances its ability to process and retrieve accurate information, thereby ensuring reliability. The use of RAG and Web Sockets enhances the agent's performance, accuracy, and responsiveness, making it a valuable tool for businesses managing international talent without needing to establish local entities. The webinar underscored the importance of designing data for human understanding and maintaining high accuracy standards to build trust in HR applications, providing insights into how generative AI can streamline HR operations globally.

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