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WEB RETRIEVAL-AWARE CHUNKING (W-RAC) FOR EFFICIENT AND COST-EFFECTIVE RETRIEVAL-AUGMENTED GENERATION SYSTEMS

2026 · Zenodo (CERN European Organization for Nuclear Research)

Retrieval-Augmented Generation (RAG) systems critically depend on effective document chunking strategies to balance retrieval quality, latency, and operational cost. Traditional chunking approaches, such as fixed-size, rule-based, or fully agentic chunking, often suffer from high token …