RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Ines Besrour, Jingbo He, Tobias Schreieder +1

We present RAGentA, a multi-agent retrieval-augmented generation (RAG) framework for attributed question answering (QA) with large language models (LLMs). With the goal of trustwor…