The Rasa Blog
Welcome to the new home of the Rasa Blog!
September 13th, 2018
Improving Entity Extraction with Lookup Tables
Tyler Hughes
Extracting meaning from text is at the core of any NLU system. Rasa NLU + Lookup tables can dramatically improve entity extraction for your application.
September 4th, 2018
How to 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 31st, 2018
Announcing the Rasa Community Forum
Justina Petraitytė
The Rasa community of makers has been growing rapidly over the past year. After talking to members, we realised that Gitter channels are not ideal to support this community. So we’re introducing the Rasa Community Forum.
July 19th, 2018
Building your own Duplex AI agent using 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
How to handle multiple intents per input 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
How to build a GDPR compliant 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 24th, 2018
Rasa Community Update: 100k+ downloads, 1,000+ members on Gitter and 100+ contributors
Alex Weidauer
Our open source community of makers is growing very fast. The bot hype has come and gone but the real value-adding use cases are here to stay.
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.
October 4th, 2017
A New Approach to Conversational Software
Alan Nichol
We’ve been working on Rasa Core for almost a year and a half and we’re finally ready to release it into the wild. We want Rasa Core to accelerate the arrival of great conversational software. Learn about Rasa Core: what it is, how we got here, and where we’re going next.
October 4th, 2017
Towards Conversational AI
Alex Weidauer
Despite all the hype around conversational interfaces and bots, we’re still in the early days of conversational software because human conversations get complex very quickly.
October 4th, 2017
Rasa Community Update: 30,000+ downloads, 300+ members on Gitter and 40+ contributors
Alex Weidauer
It’s only been 9 months since we launched our first open source product, Rasa NLU, and we’re super stoked that our awesome community has hit some important milestones.
August 31st, 2017
Learning @ Rasa: Evaluating NLU Services for Conversational Question Answering System
Rasa
We talked to Daniel Braun from Technical University of Munich about his SigDial paper evaluating the NLU services for conversational question answering systems.
August 14th, 2017
Building Bots with Rasa: SHIBA — Slack Hosted Interface for Business Analytics
Rasa
Justina Petraityte is a data scientist at a video games development company Radiant Worlds. Combining her passion for AI and conversational bots, Justina recently used Rasa NLU to build SHIBA, a bot that works like an AI Data Analyst.
July 21st, 2017
Building with Rasa: eLearning chatbot
Rasa
Nishank Mahore, engineer passionate about data science and conversational AI, used the Rasa NLU library to build a chatbot to help participants of elearning platforms and webinars.
July 17th, 2017
Building with Rasa: Yellobot — Yellow Pages Canada Chatbot
Rasa
Nathan Zylbersztejn shares how he used Rasa NLU framework to build Yellobot, a chatbot for Yellow Pages Canada.