The Rasa Blog
Welcome to the new home of the Rasa Blog!
December 16th, 2022
Conversation-Driven Development: Iterating Against KPIs
Alan Nichol
Our aim is to tap into that stream of insight and create a flywheel: a virtuous circle where AI gets better an interpreting people’s needs, we learn more about our users, and our AI helps more more people do more things.
December 15th, 2022
Revisiting the Rasa Learning Center - II
Sonam Pankaj
Rasa Learning center highlights on conversatinal AI design.
December 12th, 2022
Applying Generative Models in Conversational AI
Alan Nichol
Unleashing a large language model (LLM) on your customers, generating answers to their support requests while representing your brand, is a spectacularly bad idea.
December 2nd, 2022
Conversation-Driven Development: Zero to One
Alan Nichol
Practicing CDD from day 1 is an essential if you want to avoid a disappointing initial launch. There are many techniques and strategies for getting feedback on early prototypes of your chatbot that don’t involve putting something in production. You de-risk by getting out of your bubble.
November 17th, 2022
Conversation-Driven Development: 2022 update
Alan Nichol
The core premise of CDD is to ***listen to your users and use those insights to improve your AI assistant.***
November 16th, 2022
Rasa Developer Survey Summary
Sonam Pankaj
We would like to share a summary from the recent developer survey we carried out. We are thankful to the 148 developers from 49 countries that participated. The main goal of this survey was to gain insights so we can better serve the Rasa community with new content and research.
October 24th, 2022
Introducing Rasa Pro
Lauren Goerz
The Rasa Platform is made up of two product lines. Rasa Pro, our conversational AI infrastructure suite powered by Open Source, as well as Rasa X/Enterprise, our user interface. Together, these products form one platform for the automation of conversational customer experience.
October 13th, 2022
Rasa Learning Center I - Best of Deployments
Sonam Pankaj
Welcome to the first blog of many Rasa Learning center Series focused on how to deploy you Rasa Assistant into the real world!
September 28th, 2022
How to Connect Your AI Assistant with Google Calendar
Sonam Pankaj
This blog is a walk through on building a AI Assistant experience and connecting it with google calendar.
September 14th, 2022
Benchmarking Language Models
Sonam Pankaj
Is AI all about beating numbers to be at the top of leaderboard? Let's reimagine benchmarks, with Dynamic Benchmarking. It hosts tasks dynamically to collect data against state-of-the-art models in the loop, over multiple rounds.
September 7th, 2022
Hi, I'm your new Developer Advocate!
Sonam Pankaj
We are excited to introduce Sonam, the new Developer Advocate at Rasa! Aside from her great work in the areas of NLP and fairness in AI, she loves to play chess, paint, and listen to music. She is looking forward to enabling and nurturing local communities of Rasa to their full potential all over the globe.
August 31st, 2022
Designing Enterprise Conversational AI with Contextual Profiles
Eric Kontargyris
As brands increasingly say goodbye to FAQ and rules-based chatbots in favor of conversational digital assistants capable of engaging with customers in a human-like manner, it’s time to embrace personalization as part of your digital assistant strategy.
August 25th, 2022
The Rasa Developer Survey 2022 is now open!
Lauren Goerz
We are continuing our efforts to understand our community better and are very excited to share the Rasa Developer Survey 2022 with you! It's a short survey which will take you about 5 minutes to complete.
August 22nd, 2022
Behind the Release Notes: Rasa X/Enterprise 1.2
Lauren Goerz
Explore the newest features in Rasa X/Enterprise 1.2. We've enhanced the annotation experience to increase productivity, and made improvements to our integrated version control (IVC) feature to ensure your progress is saved every time.
June 23rd, 2022
Behind the Release Notes: Rasa Open Source 3.2
Lauren Goerz
With over 25+ million downloads, the Rasa Open Source Framework is one of the most widely adopted conversational AI frameworks in the world. With the release of Rasa Open Source 3.2, we want to highlight some of the key improvements and fixes that we have made to advance our Open Source Framework.