RasaRasa

Conversational AI framework for intent and entity extraction.

Rasa is a conversational AI framework built around intent classification and entity extraction. It gives you full control over the NLU pipeline, dialogue management, and deployment - making it the go-to for teams that need fine-grained control over their conversational AI.

I use Rasa for projects that need custom intent models or where the conversation logic is complex enough to warrant a dedicated framework. It handles slot-filling, context management, and custom actions well, and the training pipeline is transparent enough to debug and improve over time.

For Barnsley businesses with specific domain vocabulary or complex conversational requirements, Rasa provides the flexibility to build exactly what you need rather than working within the constraints of a hosted platform.

How I use Rasa for Barnsley businesses

Chatbots and conversational AI

For chatbots, it handles intent classification and slot-filling for structured conversations.

Related integrations

Want to discuss AI for your business?

I help businesses across South Yorkshire and beyond integrate AI into their workflows. Get in touch to talk through your specific situation.