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https://github.com/cendekia/awesome-rasa

Useful resources for building, improving, and deploying contextual chatbots and assistants with Rasa
https://github.com/cendekia/awesome-rasa

List: awesome-rasa

ai chatbot machine-learning nlu rasa rasa-chatbot rasa-core rasa-nlu rasa-x

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Useful resources for building, improving, and deploying contextual chatbots and assistants with Rasa

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# Awesome Rasa [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

[](https://rasa.com)

> Useful resources for building, improving, and deploying contextual chatbots and assistants with [Rasa](https://rasa.com)

## Contents

- [Tools](#tools)
- [Documentation](#documentation)
- [Blogs](#blogs)
- [Videos](#videos)
- [Community](#community)

## Tools
- [Botfront.](https://botfront.io) - An intuitive open source platform to build smart assistants with Rasa.
- [Botmock](https://botmock.com) - A design and prototyping tool that exports Rasa stories and NLU file. Making it super easy for your design team to work with content, prototyping and testing before deploying changes to Rasa.
- [Botsociety](https://botsociety.io/) - The powerful and intuitive solution for designing conversational interfaces.
- [Chatette](https://github.com/SimGus/Chatette) - A powerful dataset generator for Rasa NLU, inspired by Chatito.
- [Chatito](https://github.com/rodrigopivi/Chatito) - Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL.
- [Rasa Chatter](https://github.com/cendekia/rasa-chatter) - A command line tool to generate, manage, convert, and even train conversation from simgus/chatette dataset to Rasa NLU format.

## Documentation
- [Rasa](https://rasa.com/docs/rasa) - The official Rasa documentation.
- [Rasa X](https://rasa.com/docs/rasa-x) - The official Rasa X documentation.

## Blogs
- The Rasa Masterclass Handbook
- [Episode 1](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-1/?utm_source=awesome-rasa)
- [Episode 2](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-2/?utm_source=awesome-rasa)
- [Episode 3](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-3/?utm_source=awesome-rasa)
- [Episode 4](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-4/?utm_source=awesome-rasa)
- [Episode 5](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-5/?utm_source=awesome-rasa)
- [Episode 6](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-6/?utm_source=awesome-rasa)
- [Episode 7](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-7/?utm_source=awesome-rasa)
- [Episode 8](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-8/?utm_source=awesome-rasa)
- [Episode 9](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-9/?utm_source=awesome-rasa)
- [Episode 10](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-10/?utm_source=awesome-rasa)
- [Episode 11](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-11/?utm_source=awesome-rasa)
- [Episode 12](https://blog.rasa.com/the-rasa-masterclass-handbook-episode-12/?utm_source=awesome-rasa)
## Videos

- [Rasa Masterclass Ep#1](https://youtu.be/-F6h43DRpcU) - Intro to conversational AI and Rasa.
- [Rasa Masterclass Ep#2](https://youtu.be/k5UeywXA28k) - Creating the NLU training data.
- [Rasa Masterclass Ep#3](https://youtu.be/seBN1gMJN0U) - Training the NLU model: pre-configured pipelines.
- [Rasa Masterclass Ep#4](https://youtu.be/ET1k9OrsfYQ) - Training the NLU models: understanding pipeline components.
- [Rasa Masterclass Ep#5](https://youtu.be/WoTmnN2EMdo) - Intro to dialogue management with Rasa.
- [Rasa Masterclass Ep#6](https://youtu.be/W7jdIeyIPcU) - Domain, custom actions and slots.

- [Rasa X Tutorial 1](https://www.youtube.com/watch?v=POcgUi34Aow) - Constructing a Basic AI Assistant.
- [Rasa X Tutorial 2](https://youtu.be/8Sc7-AiY0fg) - Expanding Language Understanding.
- [Rasa X Tutorial 3](https://youtu.be/6Pghab6b28E) - Richer Responses.

## Community

- [Rasa Forum](https://forum.rasa.com)

## Contribute

Contributions welcome! Read the [contribution guidelines](contributing.md) first.

## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)

To the extent possible under law, [Cendekia](https://github.com/cendekia) has waived all copyright and related or neighboring rights to this work.