Rasa

Rasa is an open-source machine learning framework used to build contextual AI assistants, chatbots, and automated conversational systems. It provides robust natural language understanding (NLU) and dialogue management (Core) components, enabling developers to create intelligent, customizable, and privacy-focused conversational experiences. Rasa can be deployed on-premises, in the cloud, or inside containers for full control over data and infrastructure.

Features of Rasa:

• Advanced NLU for intent classification and entity extraction.
• Dialogue management powered by machine learning policies and rule-based logic.
• Fully offline and self-hosted — no cloud dependency, complete data privacy.
• Customizable pipelines with powerful components like spaCy, HF Transformers, DIET, and more.
• Supports REST, SocketIO, and custom connectors for integration with applications.
• Scalable architecture with Rasa Server, Action Server, and integrated CI/CD workflows.
• Docker-ready and production-optimized deployment options.

Instructions:

sudo su

docker run rasa/rasa:latest-full --version

Disclaimer:
Rasa is an open-source framework distributed under the Apache 2.0 license. We are not affiliated with, endorsed by, or sponsored by the Rasa Technologies GmbH team. The software is provided “as is,” without any warranties, express or implied. Users are responsible for managing their models, securing endpoints, and ensuring compliance with deployment and data handling requirements.