A RAG chatbot for the University of Texas at Tyler HRD Department - Capstone Project
We built a RAG (Retrieval-Augmented Generation) chatbot for the University of Texas at Tyler.
How does it work?
First we create embeddings of the text and place them into a vector database (like ChromaDB).
Then when a user asks a question, UT Bot finds the most relevant answer to the query and returns it.