New system identifies customer questions in real-time to speed up responses

Researchers have developed a system called "Beyond-RAG" to improve the efficiency of customer service agents by identifying customer questions in real-time. This system first checks if a query matches a predefined FAQ, retrieving the answer directly if it does. If not, it utilizes retrieval-augmented generation (RAG) to generate an answer. Deployed at Minerva CQ, this approach aims to reduce average handling times and operational costs. AI

IMPACT This system could significantly improve customer service efficiency by reducing agent handling times and operational costs.

RANK_REASON Academic paper introducing a new system and methodology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Beyond Ragnarok
• CatalyzeX
• DagsHub
• Garima Agrawal
• Gotit.pub
• Hugging Face
• Minerva CQ
• retrieval-augmented generation
• ScienceCast

• product
• infra

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