Rasa Core is a framework for building conversational software, which includes chatbots on:
But you can also build assistants using:
Rasa Core's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa Core lets you do that in a scalable way.
There's a lot more background information in this blog post.
What do Rasa Core & NLU do? 🤔 Read About the Rasa Stack
I'd like to read the detailed docs 🤓 Read The Docs
I'm ready to install Rasa Core! 🚀 Installation
I'm ready to start building! 🤖 Rasa Stack starter-pack
I have a question ❓ Rasa Community Forum
I would like to contribute 🤗 How to contribute
There is extensive documentation:
Please use Rasa Community Forum for quick answers to questions.
We are very happy to receive and merge your contributions. There is some more information about the style of the code and docs in the documentation.
In general the process is rather simple:
You pull request will be reviewed by a maintainer, who might get back to you about any necessary changes or questions. You will also be asked to sign a Contributor License Agreement.
To build & edit the docs, first install all necessary dependencies:
brew install sphinx
pip install -r dev-requirements.txt
After the installation has finished, you can run and view the documentation locally using:
make livedocs
Visit the local version of the docs at http://localhost:8000 in your browser. You can now change the docs locally and the web page will automatically reload and apply your changes.
Licensed under the Apache License, Version 2.0. Copyright 2019 Rasa Technologies GmbH. Copy of the license.
A list of the Licenses of the dependencies of the project can be found at the bottom of the Libraries Summary.
FAQs
Machine learning based dialogue engine for conversational software.
We found that rasa-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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