Capstone Project: Objective
Explore building an interactive chatbot that answers questions about Toyota vehicles using Streamlit and large language models. Learn to implement retrieval-augmented generation, vector stores, prompt engineering, and session management to create a practical, user-friendly AI assistant.
Introduction to the capstone project
In this project, we’ll create a powerful LLM-driven chatbot designed to assist users with questions about their Toyota vehicle, using the Toyota User Manual as a primary resource. This project brings together key concepts from the course, focusing on practical applications of RAG, information retrieval, similarity search, and user interaction.
Disclaimer: We are not reproducing or copying the Toyota User Manual in any way. The manual is being referenced solely to assist in responding to user questions as part of an educational project aimed at teaching students about the practical use of LLMs. This usage is strictly for educational purposes and complies with the fair use doctrine.
Objective
The goal is to build an interactive chatbot that efficiently retrieves and provides context-aware answers from the Toyota User Manual, enhancing the user experience by offering accurate, contextually relevant information based on user queries.
In this ...