Milind Sudhir

Adaptive Decision Intelligence through Retrieval-Augmented Multi-Agent Large Language Models

A comprehensive five-layer framework comprising foundation benchmarks, dynamic hybrid retrieval, multi-agent collaboration with weighted consensus, knowledge graph evolution through graph neural networks, and adaptive human-AI interaction is proposed, establishing a robust foundation for trustworthy, scalable, and truly adaptive decision intelligence systems with significant practical applicability across diverse domains.