The TIB AIssistant, from the Leibniz Information Centre for Science and Technology, supports the full research lifecycle: LLMs, knowledge graphs and external scholarly tools in a modular orchestration framework governed by a Model-Context Protocol, with RAG and a shared data store underneath. AI outputs are framed as suggestions requiring expert scrutiny, not authoritative results.
Benefits & outcomes
End-to-end support: literature review, data analysis, manuscript preparation, post-publication.
RAG and external retrieval reduce hallucination; provenance tracking keeps outputs reproducible.
Human agency and error correction designed in, not bolted on.
Customisable across disciplines and workflows.
Notes & quotes
Paper: https://arxiv.org/pdf/2512.16442
The architecture treats research systems as inherently dynamic and subject to entropy — adaptability and graceful degradation over rigid automation.
Publisher / company: TIB – Leibniz Information Centre for Science and Technology
Date of mention: 08/01/2026
Source: https://bbg-news.com/smarter-research-how-ai-assistants-are-changing-the-game/