VentureBeat January 25, 2026
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...
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