Author

J. Stark

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#artificial intelligence Preprint Sep 2026

AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research

A domain-expert evaluation of faithfulness for AquiLLM, an open-weight, offline RAG-LLM platform designed to support scientific research groups in the use and preservation of tacit and formal knowledge, is presented.

Bernie Boscoe, S. Saikrishnan, Vikram Seenivasan et al. · 1 citation

Preprint Aug 2026

AquiLLM: An Architecture for Supporting Tacit Knowledge Capture in Research Groups

This work presents a series of architectural improvements and feature enhancements to AquiLLM, including local embedding and reranking, multimodal capabilities, OpenAI-compatible inference interfaces, user interface improvements, semantic and episodic memory capabilities, and skills support.

J. Stark, S. Saikrishnan, Vikram Seenivasan et al. · 1 citation