QA chatbot is trained with roberta-base-squad2 model fine-tuned on WikiQA dataset. When the user enters a query, the wikipedia library is used to extract the initial paragraphs of a Wikipedia entry that matches the user query. The fine-tuned RoBERTa model is then used to select the location of the response that best matches the query given the context. App was built with Plotly Dash.