This work consists of creating a Chatbot agent using RASA, Python, and PHP to automate the teachers’ assistance in the learning and education management platform Ciudad Educativa, which is focused on primary and secondary education. A knowledge base has been created in RASA; this knowledge base has 159 intentions. It comprises 131 frequently asked questions and 28 management and control intentions to train the machine learning model. Primary and secondary schools significantly vary in parameterization as well as pedagogical and educational methodologies. This variability is identified according to the contexts and intent combined to provide adequate assistance to the user. The Chatbot has been integrated with the chat module of the same platform. It was evaluated by a sample of teachers who rated 82.9% of the answers presented by the Chatbot to the questions as applicable.