CodaRAG improves RAG by using a CLS-inspired three-stage pipeline of knowledge consolidation, multi-dimensional associative navigation, and interference elimination, delivering 7-11% gains on GraphRAG-Bench for factual and reasoning tasks.
H.2.3 Interference Elimination.We leverage LLMs to refine retrieved evidence by suppressing irrelevant or ambiguous items while preserving potentially useful supporting information
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CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning
CodaRAG improves RAG by using a CLS-inspired three-stage pipeline of knowledge consolidation, multi-dimensional associative navigation, and interference elimination, delivering 7-11% gains on GraphRAG-Bench for factual and reasoning tasks.