The release of RASA chatbot with open API integration at Vivify Healthcare is part of the company’s research and development efforts to find the best technology stack that is both sustainable and affordable.
Rasa Chatbot with Web UI & API Connectivity
The company is constantly looking for ways to improve its offerings and stay ahead of the curve in the highly competitive healthcare industry. Connectivity By utilizing the leading and open-source platform for transforming; how people interact with organizations through extensible conversational AI via RASA, Vivify Healthcare aims to deliver a top-notch user experience while keeping costs low and maintaining stability, security and compliance. The integration of the RASA chatbot and API provides a flexible, scalable solution that can be easily adapted to meet the changing needs of the business and its customers.
What is RASA ?
Rasa is an open-source framework for building conversational AI assistants or chatbots. It allows developers to build, train, and deploy chatbots with natural language understanding (NLU) and dialogue management capabilities. Rasa’s NLU component helps chatbots to understand user intents and entities from their messages, while the dialogue management component enables chatbots to hold context-rich conversations with users. Rasa provides a flexible and customizable architecture that can be used with various programming languages, and it supports integrations with popular messaging platforms such as Facebook Messenger, Slack, and WhatsApp. Rasa has gained popularity among developers due to its ease of use, flexibility, and community support.
What is API Integration ?
API integration refers to the process of connecting different software systems through the use of APIs (Application Programming Interfaces). APIs are sets of protocols and tools used for building software applications and enable different systems to communicate and exchange data.
In Rasa Chatbot with Web UI & API Connectivity API integration is important because it allows applications to share data and functionality, enabling developers to build more powerful and feature-rich applications. With API integration, developers can leverage the functionality of multiple systems without having to build everything from scratch, reducing development time and costs.
In Rasa Chatbot with Web UI & API Connectivity API integration can be done through various methods, such as REST (Representational State Transfer) APIs, SOAP (Simple Object Access Protocol) APIs, and GraphQL. It is an essential aspect of modern software development, enabling developers to build scalable, flexible, and robust applications.
- Sample Bot
- API Connectivity
- Fullscreen mode
- Show Image(Display Immage)
- Change Chatbot Avatar
Development Environment (Local) / System Requirements
💻 Supported OS
- Ubuntu (18.04/20.04)
- Mac Os
- CentOS (7/8)
- Red Hat Enterprise Linux
- Dual Core CPU / Quad Core CPU
- 8 GB RAM/ 16 GB RAM
- 20 GB / 50 GB Free Disk Space
- Python – 3.7.5
- Visual Studio