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SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool

SimplyRetrieve combines pre-trained LLMs with knowledge retrieval architecture to enhance generative AI systems with private data, offering a user-friendly RCG platform.

Year
2023
Venue
arXiv 2023
Authors
7
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arxiv.org/abs/2308.03983ARXIV-DEFAULT
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Abstract

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.

Authors

7