Rasa is an open-source platform for building conversational AI applications. In the next steps, we will navigate you through the process of setting up, understanding key concepts, creating a chatbot, and deploying it to handle real-world conversational scenarios. AI chatbots are programmed to learn from interactions, enabling them to improve their responses over time and offer personalized experiences to users.
If you decide to create your own NLP AI chatbot from scratch, you’ll need to have a strong understanding of coding both artificial intelligence and natural language processing. For both machine learning algorithms and neural networks, we need numeric representations of text that a machine can operate with. Vector space models provide a way to represent sentences from a user into a comparable mathematical vector.
