AI RESEARCH
Agentic GraphRAG: Navigating Unstructured Financial Data with Collaborative AI
arXiv CS.AI
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ArXi:2605.18770v1 Announce Type: cross We present a collaborative agentic GraphRAG framework for expert analysis of commercial registry data. Public registries are often formally accessible, yet difficult to use in practice because they combine structured records with large volumes of unstructured legal text. This limits conventional keyword and vector-only retrieval, especially for multi-hop, temporal, and entity-centric investigations.