Conversational AI doesn’t understand users — 'Intent First' architecture does
The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses freshness, repeatedly sending customers down the wrong paths. Instead, intent-first architecture uses a lightweight language model to parse the query for intent and context, before delivering to the most relevant content sources (documents, APIs, people).Enterprise AI is a speeding train headed for a cliff. Organizations are deploying LLM-powered search applications at a record pace, while a fundamental architectural issue is setting most up for failure.A recent Coveo study revealed that 72% of enterprise search queries fail to deliver meaningful results on the first attempt, while Gartner also p [...]
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