Build your next-level customer experience

This blogpost was a collaboration between William Arias, from Gitlab, and Vincent D. Warmerdam, from Rasa. You can find the same blogpost on Gitlab here.

Virtual assistants do more than just carry on conversations. They can send emails, make updates to a calendar, or call an API endpoint. Essentially, they can do actions that add significant value and convenience to the user experience.

In assistants built with Rasa, this type of functionality is executed by custom code called custom actions

Rasa is expanding into an exciting, previously untapped market: species to species communication. We’re very proud to announce that Rasa has developed the world’s very first multispecies chatbot for pets. The multispecies chatbot has been trained on millions of conversations across many pet species. We’re thrilled to say that Rasa for Pets is now live for public beta and can be found here .

Your comp

In a Rasa project, the NLU pipeline defines the processing steps that convert unstructured user messages into intents and entities. It consists of a series of components, which can be configured and customised by developers.

The goal of this guide is to explain the role components play in the Rasa NLU pipeline, and also to explain how they interact with each other.

The NLU Pipeline The NLU pipeline is defined in the config.yml file in Rasa. This file describes all the steps in the pipelin