Building Trustworthy Graph-Agentic RAG for Social Good: Architectures, Failure Propagation, and Assurance by Construction

The paper introduces Graph‑Agentic Retrieval‑Augmented Generation (RAG), a system that blends structured evidence with adaptive agents capable of planning retrieval, navigating relations, verifying claims, delegating tasks, and employing tools. It highlights how defects in graph construction can propagate through retrieval and control decisions, potentially leading to significant outcomes. To address these risks, the authors propose an assurance‑by‑construction framework with five interface contracts—evidence, retrieval, reasoning, capability & delegation, and outcome—that make provenance, validity, authorization, uncertainty, and recoverability explicit, and outline an evaluation agenda for social‑good applications.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• rag
• agents