Add: rasa

[leftkats]

Project

Rasa

Checklist

• One project per PR
• PR title format: Add rasa
• Entry format: * [rasa](https://github.com/RasaHQ/rasa) - Open source machine learning framework to automate text- and voice-based conversations.
• Description is concise and short

Why This Project Is Awesome

• Industry Standard - The go-to tool for a specific use case

Explain:
Rasa is the foundational open-source framework for building enterprise-grade conversational AI and complex dialogue management systems in Python. With over 21k stars and a vast ecosystem, it is the primary professional alternative to proprietary NLU services, offering full data sovereignty and deep machine-learning-based dialogue control.

How It Differs

While the current list includes excellent general-purpose NLP libraries like spaCy or nltk, Rasa is unique because it provides a dedicated, high-level framework for Dialogue Management. Unlike ChatterBot, which focuses on simpler response matching, Rasa uses a sophisticated machine-learning approach (via Stories and Rules) to handle multi-turn, contextual conversations and complex business logic in production environments.

[JinyangWang27]

@leftkats Thanks for the submission — this is a strong and relevant addition.
Given that similar projects like pydantic-ai and PraisonAI are currently listed under Machine Learning, this project would fit better there as well. Would you mind moving the entry to that section?

[leftkats]

Thank you for the suggestion @JinyangWang27 !