The Rasa Blog
Welcome to the new home of the Rasa Blog!
March 20th, 2023
Designing Conversational AI for the Enterprise: Designing for Context over Content
Andrea Kelemen
In the following article we will demonstrate the paradigm shift between designing representations (through early GUIs) and designing bounded contexts (through chatbots) – with a special focus on enterprise conversational AI.
March 16th, 2023
Answering Questions about Structured Data with Rasa Open Source and ChatGPT
Alan Nichol
Learn how to use ChatGPT in a custom action to answer questions about structured data and ways to leverage the power of LLMs inside a bot that can interact with databases and APIs to provide more natural conversations.
March 3rd, 2023
The Humans Behind the Bots: Souvik Ghosh
Rasa
Today we’re talking with Souvik Ghosh, a Resident Artificial Intelligence (AI) Engineer at Rasa. We’ll learn Souvik’s story and explore the day-to-day projects and technologies they’re passionate about.
February 24th, 2023
Breaking Free from Intents: A New Dialogue Model
Alan Nichol
We created a new intentless dialogue model, powered by LLMs, that goes beyond the limitations of intent-based chat and voice-bots. Learn more about it in this post.
February 1st, 2023
The Humans Behind the Bots: Andrea Kelemen
Rasa
Today we’re talking with Andrea Kelemen, a Senior UX Researcher at Rasa. We’ll learn Andrea’s story and explore the day-to-day projects and technologies they’re passionate about.
January 31st, 2023
From Zero to Hero: How Rasa Helped Transform a Major Financial Institution
Rasa
How a large financial services brand went from being on the brink of failure to developing a successful AI assistant that its customers (and business stakeholders) love.
January 30th, 2023
Revisiting the Rasa Learning Center III: NLP for Developers
Sonam Pankaj
“NLP for Developers” in the Rasa Learning Center is a quick and friendly introduction to modern NLP tools and methods, such as tokenization, word embedding, and transfer learning. If you are a software developer, manager, or anyone who has not been through all the machine learning concepts for Rasa NLU, it’s the best place to get an overview.
January 20th, 2023
The Humans Behind the Bots: Anne Brouillard
Rasa
Today we’re talking with Anne Brouillard, a Customer Success Manager at Rasa. We’ll learn Anne’s story and explore the day-to-day projects and technologies they’re passionate about.
January 17th, 2023
Let your brand speak for itself: Introducing Voice at Rasa with Rasa Pro 3.4
Lauren Goerz
With the most recent release of Rasa Pro 3.4, we have partnered with AudioCodes (A leading vendor of Voice over IP and VoIP Data Networking Products) to introduce a new voice offering for Rasa.
January 10th, 2023
It's Not a Bot, It's Your Brand: Conversational AI Evolves to Transform How Brands Interact with People
Alex Weidauer
AI Assistants need to evolve to adapt to each individual customer, delivering instant, unique, and omnichannel experiences. We call this Adaptive Brand Experiences. It is a new paradigm in customer experience and engagement, and changes the game for your brand and your customers with elevated customer satisfaction, improved brand loyalty and high return on investment.
December 28th, 2022
Rasa Wrap: Product Recap 2022
Lauren Goerz
Here at Rasa, our mission is to empower the world’s largest brands to interpret people’s needs with open and extensible conversational AI. This past year we have demonstrated our commitment to our mission by focusing our efforts to help our customers scale their enterprise conversational AI products. Here are some of our key product milestones from 2022.
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.