Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
<|reference_start|>Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants: This work presents Retail-GPT, an open-source RAG-based chatbot designed to enhance user engagement in retail e-commerce by guiding users through product recommendations and assisting with cart operations. The system is cross-platform and adaptable to various e-commerce domains, avoiding reliance on specific chat applications or commercial activities. Retail-GPT engages in human-like conversations, interprets user demands, checks product availability, and manages cart operations, aiming to serve as a virtual sales agent and test the viability of such assistants across different retail businesses.<|reference_end|>
@article{de freitas2024retail-gpt:,
    title={Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building
  E-commerce Chat Assistants},
    author={Bruno Amaral Teixeira de Freitas and Roberto de Alencar Lotufo},
    journal={arXiv preprint arXiv:2408.08925},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.08925},
    primaryClass={cs.IR cs.AI cs.CL cs.HC}
}