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Agentic Chunking

  • Definition: A sophisticated AI data processing technique that breaks down large datasets or documents into semantically meaningful segments (chunks) based on context rather than fixed character counts.
  • Nettpilot Perspective: Unlike traditional RAG, Agentic Chunking allows AI agents to “understand” where a thought begins and ends, ensuring higher accuracy in automated reasoning.