Building an Intelligent QA/Chatbot with LangChain and Open Source LLMs

dc.contributor.author	Cross, Patrick	en
dc.contributor.author	Syed, Mikail	en
dc.contributor.author	Scott, Sean	en
dc.contributor.author	Singh, Aditya	en
dc.contributor.author	Zhang, Maokun	en
dc.date.accessioned	2024-12-17T23:16:10Z	en
dc.date.available	2024-12-17T23:16:10Z	en
dc.date.issued	2024-12	en
dc.description.abstract	This project developed a web-application Q/A chatbot that enables users to interact with Large Language models (LLMs) through a collection format. The system implemented a Retrieval Augmented Generation (RAG) pipeline to provide context-specific responses based on either user-uploaded documents (.txt, .html, and .zip formats) or user uploaded URLs. The application features secure user authentication, multiple- instances of chat/document contexts through collections, document up- load, and standard LLM chatbot functionalities, including the ability to switch between LLMs. This report will give readers an understanding of how the application was designed and developed; how to install and use the application; how to continue development of the application; lessons learned during development; and future plans for the project.	en
dc.identifier.uri	https://hdl.handle.net/10919/123823	en
dc.title	Building an Intelligent QA/Chatbot with LangChain and Open Source LLMs	en