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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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