SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative
  AI Tool
Youyang Ng Daisuke Miyashita Yasuto Hoshi Yasuhiro Morioka Osamu Torii Tomoya Kodama Jun Deguchi
Large Language Model (LLM) based Generative AI systems have seen significant
progress in recent years. Integrating a knowledge retrieval architecture allows
for seamless integration of private data into publicly available Generative AI
systems using pre-trained LLM without requiring additional model fine-tuning.
Moreover, Retrieval-Centric Generation (RCG) approach, a promising future
research direction that explicitly separates roles of LLMs and retrievers in
context interpretation and knowledge memorization, potentially leads to more
efficient implementation. SimplyRetrieve is an open-source tool with the goal
of providing a localized, lightweight, and user-friendly interface to these
sophisticated advancements to the machine learning community. SimplyRetrieve
features a GUI and API based RCG platform, assisted by a Private Knowledge Base
Constructor and a Retrieval Tuning Module. By leveraging these capabilities,
users can explore the potential of RCG for improving generative AI performance
while maintaining privacy standards. The tool is available at
https://github.com/RCGAI/SimplyRetrieve with an MIT license.