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Rasa is a machine learning framework for automated text and voice-based dialogues that is open source. It understands and hold conversations, as well as link to messaging channels and APIs

Following can benefit from our Rasa instance:

• Developers and conversational teams
• Enterprises also use Rasa for building text and voice-based assistants

• Rasa Open source provides command line interface to work with AI-assistants and chatbots where an individual can build a customized NLP chatbot
• Rasa x provides browser based GUI to interact with chatbot. It also helps in review conversations and improve assistant by iterating on models and code

• Recommended memory: 8GB RAM
• Recommended vCPU:4 vCPUs
• Operating System:Ubuntu 18.04

Rasa offers built-in channels for different messaging platforms which includes:

• Slack
• Facebook Messenger
• Twilio (WhatsApp)
• Telegram
• Microsoft Bot Framework (Microsoft Teams)
• Cisco Webex
• Rocketchat
• Mattermost
• Google Hangouts

Rasa has a built-in support for databases:

• MongoDB
• Dynamo
• Oracle

Rasa’s backend can be integrated with:

• Salesforce
• Zendesk
• Service Now
• Hubspot
• Other third party system that provides an API

To create a new project with example training data, actions, and config files, type the following commands:

• cd /home/rasaproject
• source ./venv/bin/activate
• sudo rasa init

If you want to work with web based GUI tool which will train Machine learning model by using GUI based interactive mode and want to share your bot with real testers to gather more conversations, you need to work with rasa-x through following command:

• sudo rasa x

The default port that rasa x listens to is 5002. You can access the web interface at http://yourip:5002 using the password generated in the terminal