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Rasa named a “Cool Vendor in Conversational AI platforms” by Gartner
The Gartner Cool Vendor report identifies innovative products and rising trends in the conversational AI industry. Learn why Rasa was selected and get recommendations for evaluating your conversational AI stack.
What they're saying
Rachael Tatman@rctatman · Apr 1
Vincent D. Warmerdam@fishnets88 · Mar 23
We'll talk about some of my personal side projects as well as some of the research we're doing @Rasa_HQ. Feel free to tune in and to let us know if there's something that we should discuss.
From the blog
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Create and Deploy Custom Actions Containers to Rasa X using Gitlab DevOps Platform
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
Announcing: Rasa for Pets
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 .
Intents & Entities: Understanding the Rasa NLU Pipeline
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