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Ivan Michael Siregar

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Open access Jul 2026

Agnostic Multi-Source Retrieval-Augmented Generation for Documents and Database Question Answering

This study develops a multi-source Retrieval-Augmented Generation (RAG) based Question Answering (QA) system that automatically integrates heterogeneous knowledge sources through a unified source parameter to enhance knowledge transfer and question answering for organizational support and employee onboarding.

Krisna Dwi Setya Adi, Ivan Michael Siregar · 0 citations