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update copy based on feedback from marketing
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README.md

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<img align="right" height="244" src="https://www.rasa.com/assets/img/sara/sara-open-source-lg.png">
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Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on:
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Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contexual assistants on:
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- Facebook Messenger
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- Slack
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- Microsoft Bot Framework
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- Alexa Skills
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- Google Home Actions
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Rasa's primary purpose is to help you build contextual, layered
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conversations with lots of back-and-forth. To have a real conversation,
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you need to have some memory and build on things that were said earlier.
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Rasa lets you do that in a scalable way.
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Rasa helps you build contextual assistants capable of having layered conversations with
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lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual
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assistant, the assistant needs to be able to use context to build on things that were previously
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discussed – Rasa enables you to build assistants that can do this in a scalable way.
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There's a lot more background information in this
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[blog post](https://medium.com/rasa-blog/a-new-approach-to-conversational-software-2e64a5d05f2a).

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