Rasa is an open-source framework for building chatbots that focuses on a storytelling approach to chatbot development. Rasa is a leader in open-source natural language understanding engines and is a well-established framework.

They focus on artificial intelligence and build a framework that allows developers to create and continuously improve AI assistants. Instead of defining visual flows and intents within the platform, Rasa allows developers to create stories (training data scenarios) designed to train the bot.

Rasa operates in the workplace with its fully open-source standard NLU engine. They have built Rasa X, a set of tools that helps developers review conversations and improve the assistant. Rasa also has several premium features available with an enterprise license.

Every chatbot platform requires a certain amount of training data, but Rasa works best when provided with a large training dataset, typically in the form of customer service chat logs. These customer service chats are analyzed, organized, classified, and ultimately used to train the natural language processing engine.

One potential issue with the storytelling approach is that it can be difficult to predict what the bot will say at any given moment since no one can access the underlying logic; it is a black box. The risk of this is mitigated by having large amounts of high-quality training data.

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Learn more about Rasa: https://rasa.com

Rasa documentation: http://rasa.com/docs

Join the Rasa Community: https://forum.rasa.com

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