AINeutralarXiv – CS AI · Apr 146/10
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CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning
Researchers introduce CodaRAG, a framework that enhances Retrieval-Augmented Generation by treating evidence retrieval as active associative discovery rather than passive lookup. The system achieves 7-10% gains in retrieval recall and 3-11% improvements in generation accuracy by consolidating fragmented knowledge, navigating multi-dimensional pathways, and eliminating noise.