Customer-facing AI search must optimize for low-latency relevance, responsiveness and personalization rather than compliance with internal policies.

Vespa Blog

Enterprise AI search platforms optimized for internal knowledge management and governance don't meet the requirements of customer-facing applications. Customer-facing AI search demands low-latency retrieval, high-volume query processing, real-time indexing, multiphase ranking pipelines, and multimodal retrieval capabilities. Unlike internal systems prioritizing compliance and access control, customer-facing search directly impacts revenue, engagement, and user experience, requiring unified architectures that handle both lexical and vector retrieval with sophisticated tensor computation at scale.

Enterprise AI Search vs. the Real Needs of Customer-Facing Apps