# RasaHQ/rasa\_core

**URL:** <https://forum.rasa.com/t/rasahq-rasa-core/605>\
**Category:** Rasa Open Source\
**Created:** [August 22, 2018, 3:37pm UTC](https://forum.rasa.com/t/rasahq-rasa-core/605 "2018-08-22T15:37:26Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![fahr23](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/fahr23/32/457_2.png) [@fahr23](https://forum.rasa.com/u/fahr23)\
**Post date:** [August 22, 2018, 3:37pm UTC](https://forum.rasa.com/t/rasahq-rasa-core/605/1 "2018-08-22T15:37:26Z")

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[https://github.com/RasaHQ/rasa\_core/tree/master/examples](https://github.com/RasaHQ/rasa_core/tree/master/examples) docs files has been removed. they were useful files, i think they should be visible again?

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**Author:** ![amn41](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/amn41/32/20_2.png) [@amn41](https://forum.rasa.com/u/amn41)\
**Post date:** [August 23, 2018, 7:27pm UTC](https://forum.rasa.com/t/rasahq-rasa-core/605/2 "2018-08-23T19:27:23Z")

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what has been removed? the link you posted still works

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<div class="post-metadata">

**Author:** ![fahr23](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/fahr23/32/457_2.png) [@fahr23](https://forum.rasa.com/u/fahr23)\
**Post date:** [September 10, 2018, 10:24am UTC](https://forum.rasa.com/t/rasahq-rasa-core/605/3 "2018-09-10T10:24:39Z")

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Hello Alan, Documentation can be found **here**. (this link is missing)

## moodbot: Simple getting started example

Getting started example. It is a simple example showcasing the creation of a bot for facebook (or for any other channel for that matter). Documentation can be found [here](https://rasa.com/docs/core/tutorial_basics.html).

## restaurantbot: Restaurant suggestion example

Highlights advanced features, like a custom policy as well as custom action code. It is an example of supervised learning with stories, and includes a NLU model. Based on the bAbI and DSTC datasets. Documentation can be found [here](https://rasa.com/docs/core/tutorial_supervised.html).

## concertbot: Interactive learning example

Create stories using interactive learning. Does not contain NLU training data, hence uses a simple regex interpreter to parse user messages. Documentation can be found [here](https://rasa.com/docs/core/tutorial_interactive_learning.html).