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The paper proposes MAGG, a multi-agent framework for constructing governed knowledge graphs with domain-expert review, improving knowledge extraction and question-answering performance over methods like Microsoft GraphRAG.
PinSieve is a production case study for enterprise content-quality triage that uses a selective vision-language model serving agent with a governed memory flywheel, resulting in a 25.7% improvement in review productivity and a 16.2% reduction in operating cost.