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SelectHub Launches Research Lab DataGrout to Unify Enterprise Agent Deployment and Shrink LLM Costs

New enterprise AI cost optimization platform delivers transformative LLM payload-level visibility, granular token tracking, and automated optimization for chatbots and agentic workflows for CIOs and CFOs AUSTIN, Texas, Aug. 13, 2026 (GLOBE NEWSWIRE) — Technology analyst firm SelectHub today announced the launch of DataGrout, its specialized AI research lab introducing an LLM inference…

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Agentic RAG: making retrieval a decision the agent controls

Short answer Agentic RAG is retrieval-augmented generation where the agent decides when to retrieve, what to query, and whether the results are good enough — sometimes searching again — instead of…

  • Agentic RAG refines RAG approach, controls retrieval decision-making.
  • Classic RAG retrieval is fixed pipeline step, agentic RAG has decision loop.
  • Agentic RAG three capabilities: retrieval on demand, query formulation, result grading.