Customizing Training Data Importing

Since Rasa version 1.2 you can customize the way Rasa imports training data for the model training. This tutorial shows you how to use provided out-of-the-box components or how to build your own importer module and plug it into Rasa.…

Compressing BERT for faster prediction

Let's look at compression methods for neural networks, such as quantization and pruning. Then, we apply one to BERT using TensorFlow Lite.…

Integrating Rasa with knowledge bases

What exactly is a knowledge base, and how can you use it to bring your AI assistant's understanding to the next level? Learn more in this tutorial.…

Set up a knowledge base to encode domain knowledge for Rasa

This guide details how to set up your own knowledge base, and then put it to use to improve your NER.…

Building a Common Language for Conversational AI

We start creating a common language to talk about the structure of conversations with AI assistants.…

Why, what and how to contribute to Rasa - removing friction from contributing to machine learning OSS

We are very excited to announce the Contribute to Rasa project - a public project on GitHub where we will share ideas for what contributions (code, content, local community chapters) you can make to Rasa.…

Algorithms alone won’t solve conversational AI - Introducing Rasa X

We're excited to announce Rasa X, our new product for developers in early access. Also, our open source framework Rasa is now available in 1.0…

Rasa X: Getting started as a current Rasa user

Rasa X is a tool designed to make it easier to deploy and improve Rasa-powered assistants by learning from real conversations. Learn how you can use it to take your Rasa assistant to the whole new level.…