Pinecone says the classic RAG-to-vector pipeline fails for agentic AI, where tasks require reassembling context across sources and sessions. The company’s Nexus shifts reasoning to a compilation stage, creating persistent, task-specific knowledge artifacts, plus KnowQL for declarative agent queries. An internal benchmark claims a 98% token reduction, aiming at deterministic grounding and governance-ready outputs.
VB Pulse data for Q1 2026 shows enterprises stopped adding new retrieval layers and instead rebuilt what they already had. Hybrid retrieval intent tripled to 33.3%, while 22% report having no production RAG. Evaluation budgets slid as retrieval optimization surged, driven by reliability and access-control needs that break older “vector only” designs at agentic scale.
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