Struggling to get Rasa core running on your desktop?

Concerned about providing access to your desktop for user testing?

Connect to a hosted Rasa core instantly with our Rasa-as-a-Service.

It’s easy (and free) to get started.

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RaaS.ai provides an alternative environment to run and test your Rasa core models in AWS easily and securely – without any of the configuration issues from running it locally and the security concerns of providing access to end-users for testing.

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What is Rasa?

Rasa is an open source machine learning framework to automate text- and voice-based conversations – developers can access tools to build, improve, and deploy text-and voice-based chatbots and assistants.

conversation

What is RaaS.ai?

RaaS.ai provides a SaaS environment to quickly spin up Rasa core instances and run your models, making it easier and more secure for end-user testing, easier to evaluate configurations and pipelines and simple to check version compatibility – it’s Rasa-as-a-Service.

# Install with NPM
npm i @raas-ai/raas-cli

Features

instant-core

Instant Rasa core to run your model

cli-from-desktop

Command line access from local desktop

faster-training

Faster training of your model

pipeline-config

Automatic identification of best pipeline configuration

diagnostics-ad-tracking

Diagnostic information and performance tracking

customise-messenger

Add & customize messenger for end-user testing

ab-testing

Enables A/B Testing

compatibility-testing

Compatibility testing against new Rasa versions

versions

Maintain and store multiple versions

Benefits

No need to install Rasa locally

RaaS.ai provides an instant Rasa core instance for you to run your model.

Really easy-to-use command line

We take the pain out of configuration and python library conflicts and make it really easy to use from your desktop.

Secure end-user access for testing

We allow you to provide safe and secure access for end-users to test your models without exposing your desktop (users can test without your desktop being on).

Overcome Mac/Win desktop issues

We overcome the problems of running Rasa on Windows and Mac machines.

Generate higher accuracy models

We help you get to higher levels of accuracy and F1 scores much faster than natively

Track & evidence improvements over time

Monitor improvements and show team members your progress over time.

Easy to compare and maintain versions

Let us take the pain of maintaining and storing versions as well as compatibility checks with new releases of Rasa core

Instant deployment to your website

When you’re ready to use, simply add your customized messenger onto your website with a few lines of Javascript.

Pricing

Projects
Users
Startup Time
Concurrent Models
Production Models
Library
Model Versions
Analytics
A/B Live Testing
Chat Messenger
Chat History
Security & Access Logs
Action Server
Github Integration
free

Free

(Beta)
1 - Projects
1 - Users
3 mins - Startup Time
2 - Concurrent Models
0 - Production Models
Limited - Library
Last 10 - Model Versions
raas-cli - Analytics
No - A/B Live Testing
No - Chat Messenger
1 week - Chat History
No - Security & Access Logs
No - Action Server
No - Github Integration

Resources

15th January 2020

Rasa comparison with Google Dialogflow and Amazon Lex AI Engines

Building natural language AI assistants is a hot topic in the business and developer worlds so let’s…

15th January 2020

An Introduction to RaaS.ai, a tool to train, host and analyze AI models.

Here’s a short video introducing raas.ai, a tool to train, host and analyze AI models, Creating a…

15th January 2020

How RaaS.ai makes it easier to build and scale solutions based on Rasa

The Rasa Open-Source Framework In our last blog, we looked at the popularity of publicly available NLU…

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