Rasa

Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account.

The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it as a drop-in replacement for popular NLP tools like wit.ai, api.ai, LUIS or IBM Watson.

Rasa developers collaborate with leading research groups in NLP and Dialogue communities to ensure that the latest research and ideas are integrated throughout development. Again, Rasa presents no risk of vendor lock-in since it is open source software. Rasa is modeled to be easy to train and customize based on your use cases and environment to improve the accuracy of conversations.

With Enterprise subscription, you can get support for the full conversational AI implementation process in your company and recommendations for high-impact use cases. A dedicated Rasa account manager is assigned assist you coordinate each stage of the project, from designing the conversational AI all the way to testing and deployment.

You also get access to and collaborate with core developers of the Rasa stack to get advice on model architectures, and how to optimize your models to get the best performance.

The Rasa team can also conduct a customized training boot camp to equip your entire engineering team with the relevant machine learning and conversational AI skills. Rasa provides documentation and a Gitter chat room, so users can get support to launch and implement the application as well as newsletter subscription for latest news on Rasa new releases, use cases, events, and industry updates.