Building contextual assistants with Rasa Forms

Slot filling is made easy with our new addition of FormPolicy. FormPolicy allows you to cover all the happy paths with a single story. Forms also let you alter logic within a happy path, without needing to change the training data.…

Our Open Source Community Is Growing Faster than Ever. Weren’t Chatbots Meant to Be Dead? - Rasa Community Update

Rasa just turned two and we’re excited that our community has hit important milestones: Downloads have tripled, community members and contributors doubled.…

Attention, Dialogue, and Learning Reusable Patterns

Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM.…

Level 3 Contextual Assistants: Beyond Answering Simple Questions

This posts gives an overview of the key capabilities that AI assistants need to handle contextual conversations.…

Conversational AI: Your Guide to Five Levels of AI Assistants in Enterprise

I wanted to give a bit more detail to the concept of five levels of AI assistants. We’ve been talking about it at Rasa for…

13 Rules for Conversational User Interface Design

When technology advances quickly, design often gets ignored in the process. A common set of guidelines for designing conversational user interfaces was still non-existent...…

Going beyond ‘Hey Google’: building a Rasa-powered Google Assistant

In this post, we are going to show you how you can enable your Google Assistant to handle deeper and more natural conversations by integrating it with Rasa Stack.…

Improving Entity Extraction with Lookup Tables

Extracting meaning from text is at the core of any NLU system. Rasa NLU + Lookup tables can dramatically improve entity extraction for your application.…