What is Rasa NLU?
rasa NLU is an open-source natural language understanding and machine learning framework for building conversational AI assistants. It allows you to interpret user messages, classify intents, extract entities, and determine how to respond appropriately.
Some key features of rasa NLU:
- State-of-the-art algorithms for intent classification and entity extraction
- Prebuilt pipelines and models for common NLU tasks
- Customizable pipeline with different components for preprocessing, featurization, and interpretation
- Easy integration into chatbots and voice assistants built with Rasa, Alexa, Google Assistant etc
- Cross-platform support with REST APIs and Docker images
- Built-in support for training word vectors from conversations
- Framework agnostic, can be used with any chatbot framework like Dialogflow, Lex, Luis etc
rasa NLU makes it easy for developers to add conversational intelligence and contextual understanding of requests to agents and assistants. With customizable pipelines and built-in models, it provides high performance out of the box while also allowing flexibility to adapt as per use cases.