Conversational AI
For updates regarding how we utilize, improve upon, and explore conversational AI technologies, check out this category for related blog posts!
April 11th, 2019
What our new funding means for our developer community
Alex Weidauer
We’ll double-down on open source, new developer tools and machine learning research to build the standard infrastructure layer for conversational AI
March 19th, 2019
Designing Rasa training stories
Justina Petraitytė
Training data is an essential part of every machine learning model. In this post, we are going to cover the best practices of designing Rasa training stories and what you should keep in mind to build your best conversational AI assistant.
March 13th, 2019
AI Assistants in Healthcare: An Open Source Starter Pack for Developers to Automate Full Conversations
Alex Weidauer
Medicare Locator is an example AI assistant and chatbot to help developers in healthcare with their own, using open source tools and APIs.
February 27th, 2019
How to build HIPAA compliant AI Assistants using Rasa
Dominik Rosenkranz
TL;DR: Rasa provides a way to develop your HIPAA compliant conversational AI Assistants. It gives you the full functionality and…
January 24th, 2019
Open Source Two Stage Fallback Policy with Rasa NLU and Core
Tobias Wochinger
Rasa Stack is an open source machine learning-based framework for building level 3 contextual AI assistants. In Rasa Core version 0.13 we…
November 29th, 2018
Attention, Dialogue, and Learning Reusable Patterns
Alan Nichol
Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM.
October 17th, 2018
Level 3 Contextual Assistants: Beyond Simple Questions
Alex Weidauer
This posts gives an overview of the key capabilities that AI assistants need to handle contextual conversations.
September 27th, 2018
Your Guide to Five Levels of AI Assistants in Enterprise
Alex Weidauer
I wanted to give a bit more detail to the concept of five levels of AI assistants. We've been talking about it at Rasa for some time, and…
September 26th, 2018
13 Rules for Conversational User Interface Design
Ulrike Eisengräber
To help navigate the multitude of design challenges associated with the rise of chatbots, follow these 13 guidelines while building and designing conversational user interfaces.
September 20th, 2018
Going Beyond ‘Hey Google’: Building a Rasa-Powered Assistant
Justina Petraitytė
In this post, we are going to show you how you can enable your Google Assistant to handle deeper and more natural conversations by integrating it with Rasa Stack.
September 4th, 2018
Migrate Your Existing Google DialogFlow Assistant to Rasa
Justina Petraitytė
Learn the step-by-step process of migrating an existing DialogFlow assistant to Rasa and the main reasons why developers choose Rasa over hosted platforms.
July 19th, 2018
Build Your Own Duplex AI Assistant with Rasa and Twilio
Rasa
In this tutorial, you'll learn how to build your own Google Duplex-like AI assistant that can handle phone calls autonomously using Rasa and Twilio.
June 11th, 2018
Handle Multiple Intents Using Rasa NLU TensorFlow Pipeline
Justina Petraitytė
In this tutorial we'll learn how to use the Rasa NLU TensorFlow pipeline to build a chatbot that can understand multiple intents and recommend Berlin meetups.
May 24th, 2018
Build a GDPR Compliant AI Chatbot or Voice Assistant
Philipp Wolf
Building AI bots often requires working with sensitive customer data. Open source brings the necessary transparency you need to work with personal data.
April 18th, 2018
Supervised Word Vectors from Scratch in Rasa NLU
Alan Nichol
We’ve released a new pipeline, Rasa NLU 0.12 which uses very little memory, handles hierarchical intents, messages containing multiple intents, and has fewer out-of-vocabulary issues.