Conversational AI
For updates regarding how we utilize, improve upon, and explore conversational AI technologies, check out this category for related blog posts!
March 23rd, 2022
Tracker Loading, Checkpoint Resolution, and Story Augmentation
Felicia Körner
This blog post will walk you through the internals of how Rasa turns the conversation data you provide into the format needed for training and testing policies, as well as the automated data augmentation that is performed.
February 3rd, 2022
Rasa Recognized in 2022 Gartner® Magic Quadrant™
Scout Ellam-Scholes
Rasa Recognized as Niche Player by Gartner in their first ever Enterprise Conversational AI Platforms Magic Quadrant Report
February 1st, 2022
Enterprise Success with Conversational AI Webinar Recap
Lauren Goerz
Explore key takeaways from our December 2021 interviews with Rasa customers on their enterprise successes with conversational AI
October 1st, 2021
New Livestream: Rasa Community Showcase
Emma Jade Wightman
We have another brand new regular stream on our YouTube channel - The Rasa Community Showcase!
June 21st, 2021
Custom SpaCy 3.0 models in Rasa
Vincent Warmerdam
In this guide, we're going to bootstrap a spaCy 3.0 project and show you how you can integrate it with Rasa. We will train an entity detector and demonstrate how to use the new spaCy projects feature.
May 19th, 2021
Benchmarking Success for Enterprise Conversational Teams
Alan Nichol
The enterprise readiness scorecard is a new tool from Rasa to help enterprises create concrete, actionable success plans.
May 12th, 2021
Introducing Rasalit: Streamlit Apps to Explore Rasa Models
Vincent Warmerdam
Introducing Rasalit! It's a collection of streamlit apps that make it easier to explore your trained Rasa models.
April 23rd, 2021
Guide to Building Conversational AI Proofs of Concept
Karen White
This guide zeroes in on best practices for building conversational AI proofs of concept, to help teams create a solid foundation for future development.
April 19th, 2021
Why Rasa uses Sparse Layers in Transformers
Johannes Mosig
Vladimir Vlasov
Feed forward neural network layers are typically fully connected, or _dense_. But do we actually need to connect every input with every output? And if not, which inputs should we connect to which outputs?
March 8th, 2021
Takeaways from Two Recent Rasa Production Stories
Karen White
Curious about our takeaways from recent Rasa Production Stories? We examine 5 key insights from enterprises adopting conversational AI.
March 4th, 2021
Exploring Semantic Map Embeddings / Part II
Rasa
Johannes Mosig
In this second part of our series on semantic maps, we show how to create them and see how they perform as featurizers for DIET.
February 24th, 2021
Exploring Semantic Map Embeddings / Part I
Johannes Mosig
Are you interested in semantic map embedding? We explore a new sparse text embedding that has some interesting properties.
January 5th, 2021
Getting Back on the Happy Path
Karen White
Check out our blog and learn how to guide users toward successful interactions with chatbots through conversation design.
December 3rd, 2020
Using Rasa Github Action for Custom Action Server Images
Justina Petraitytė
In this tutorial we would like to show you how you can use Rasa Github Action to automate your Rasa custom action development workflow.
November 9th, 2020
Rasa for Content Creators
Karen White
Content creators contribute one of the most visible parts of an assistant: the personality, responses, and conversation flows.