RASA TECHNOLOGIES in Conversational AI Software

Features: Understand messages It can convert free-form text in any language into structured data and supports single and multiple intents and both pre-trained and custom entities.   Hold conversations It can hold back-and-forth chats that remember context using deep learning-based dialogue management and seamlessly integrate business logic.   Interactive learning It produces training data by speaking to virtual assistant and offer feedback when it makes an error. Connect to commonly-used messaging channels It runs virtual assistant on Slack, Facebook, Google Home, custom channels, and more.   Integrate API calls Rasa's conventional actions interact with APIs and other systems.   View and annotate conversations It Filter, flag, and fix conversations to continually improve assistant.   Version and manage models It tracks and manage models and promote to production or easily roll back.   Deploy anywhere It comes up with ready-to-deploy Docker containers and orchestration to run Rasa on-prem, or via a preferred cloud provider