RAGA is an agentic framework using ReAct-style tool loops with cognitive constraints for autonomous knowledge graph construction, hybrid retrieval, and evidence-anchored provenance.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages =
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RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation
RAGA is an agentic framework using ReAct-style tool loops with cognitive constraints for autonomous knowledge graph construction, hybrid retrieval, and evidence-anchored provenance.