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
this https URL with an MIT license.

基于大语言模型（LLM）的生成型人工智能系统近年来取得了显著进展。集成知识检索架构可以无需额外模型微调，实现私有数据与公开可用的生成型人工智能系统的无缝集成。此外，提出的检索中心化生成（RCG）方法将 LLMs 和检索器在上下文解释和知识记忆方面明确分离，这可能导致更高效的实现。SimplyRetrieve 是一个开源工具，旨在为机器学习社区提供本地化、轻量级和用户友好的接口，支持 GUI 和 API 的 RCG 平台，并辅以一个私有知识库构建器和检索调优模块。通过利用这些功能，用户可以探索 RCG 改善生成型人工智能性能的潜力，同时保持隐私标准。该工具可以在此 https URL 获取，并附有 MIT 许可。