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41 lines
1.3 KiB
Markdown
41 lines
1.3 KiB
Markdown
# Knowledge Base Bot
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This example bot uses a knowledge base to answer user's requests.
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## What’s inside this example?
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This example contains some training data and the main files needed to build an
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assistant on your local machine. The `knowledgebasebot` consists of the following files:
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- **data/nlu.yml** contains training examples for the NLU model
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- **data/stories.yml** contains training stories for the Core model
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- **actions/actions.py** contains the custom action for querying the knowledge base
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- **config.yml** contains the model configuration
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- **domain.yml** contains the domain of the assistant
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- **endpoints.yml** contains the webhook configuration for the custom action
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- **knowledge_base_data.json** contains the data for the knowledge base
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## How to use this example?
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To train your knowledge base bot, execute
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```
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rasa train
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```
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This will store a zipped model file in `models/`.
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Start the action server by
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```
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rasa run actions
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```
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To chat with the bot on the command line, run
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```
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rasa shell
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```
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For more information about the individual commands, please check out our
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[documentation](http://rasa.com/docs/rasa/command-line-interface).
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## Encountered any issues?
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Let us know about it by posting on [Rasa Community Forum](https://forum.rasa.com)!
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