Ms. Nidhi Chauhan – Information Technology, NIET, Greater Noida, India. nidhi.chauhan@niet.co.in
Abstract
BuyBot is an **AI-powered e-commerce assistant** designed to **optimize user engagement** through **natural language processing (NLP), LangChain, and vector databases**. The system supports **seamless product discovery, filtering, and order-related assistance**, providing **real-time customer support and interactive search functionalities**.
Keywords
AI Chatbot, E-Commerce, Visual Search, BuyBot, LangChain, Large Language Models, Conversational AI.
Conclusion
The **BuyBot platform** introduces an innovative **conversational AI framework**, leveraging **semantic retrieval, visual embeddings, and LangChain** to redefine **intelligent e-commerce solutions**. Future development may focus on **multi-modal interactions, enhanced recommendation engines, and cross-platform integration**.
References
A. Radziwill & M. Benton (2017). “Evaluating Quality of Chatbots and Intelligent Conversational Agents.” Journal of Intelligent & Robotic Systems.
R. Dale (2016). “The Return of the Chatbots.” Natural Language Engineering.
H. Chase (2022). “LangChain: Building Applications with LLMs through Composability.”
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
2 comments