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@@ -37,7 +37,7 @@ ZenML stores the outputs of all the steps in an artifact store that you configur
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### Data Sources
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We thought about the kinds of data sources we'd want to be queried when users entered their queries. We take a lot of pride and effort to maintain our documentation so that was an obvious one to include. We considered adding [the `README` files of our `examples`](https://github.com/zenml-io/zenml/tree/main/examples) since that's often a starting point for our users, and we thought [our release notes](https://github.com/zenml-io/zenml/blob/main/RELEASE_NOTES.md) would also be useful to be part of the context.
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We thought about the kinds of data sources we'd want to be queried when users entered their queries. We take a lot of pride and effort to maintain our documentation so that was an obvious one to include. We considered adding [the `README` files of our `examples`](https://github.com/zenml-io/zenml/tree/main/examples) since that's often a starting point for our users, and we thought [our release notes](https://github.com/zenml-io/zenml/releases) would also be useful to be part of the context.
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Getting all of this together was not too hard, and LangChain has functions that help with obtaining Slack messages and documentation from Gitbook. In the end we wanted more flexibility than was available from the pre-built document loaders, so we just used the generic loader for web content along with a custom scraper to get a list of all URLs available for our docs and examples READMEs.
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