Hybrid Multi-Agent GraphRAG for E-Government: Towards a Trustworthy AI Assistant

Hybrid Multi-Agent GraphRAG for E-Government: Towards a Trustworthy AI Assistant

As public institutions increasingly adopt AI-driven virtual assistants to support transparency and citizen engagement, the need for explainable, accurate, and context-aware language systems becomes vital. While traditional retrieval-augmented generation (RAG) frameworks effectively integrate externa...

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Bibliographic Details
Main Authors: George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
generative artificial intelligence (GAI)
graphs
GraphRAG
large language models (LLMs)
retrieval-augmented generation (RAG)
Online Access:https://www.mdpi.com/2076-3417/15/11/6315
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