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Grakn: Updated the README with disclaimer explaining about examples
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neomatrix369 committed May 25, 2020
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7 changes: 7 additions & 0 deletions examples/data/databases/graph/grakn/README.md
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- Grakn on AWS: [Grakn Profile (AWS Marketplace)](https://aws.amazon.com/marketplace/seller-profile?id=35eaf0dd-eda4-4b8d-b78a-443f6c619104)| [Grakn KGMS(AWS Marketplace)](https://aws.amazon.com/marketplace/pp/GRAKNAI-Grakn-KGMS/B07H8RMX5X) | [Deploy Grakn on AWS](https://dev.grakn.ai/docs/cloud-deployment/aws) | [Blog](https://blog.grakn.ai/grakn-kgms-is-now-on-aws-db871ecdb425)
- Grakn on Google: [Deploy Grakn on Google](https://dev.grakn.ai/docs/cloud-deployment/google-cloud) | [GRAKN.AI with Google Bigtable via JanusGraph](https://blog.grakn.ai/grakn-ai-with-google-bigtable-via-janusgraph-cc46fd0958df) | [Blog](https://blog.grakn.ai/grakn-ai-on-google-cloud-f18f6692670c)

## Disclaimer

All the code and scripts container in this folder `grakn` are a proof-of-concept work to illustrate use-case(s) and usage scenarios. It is not mean to be a full-fledge solution and is adapted to show-case certain scenarios and hence all of the behaviours are in that order.

The code (this repo) and the referred datasets (see Grakns' docs and git repos)are available as F/OSS. The code is available here under the Apache license, see [license.txt](../license.txt) and can be used/changed accordingly. Grakn's resources are available under their said licenses (please check accordingly).


# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!
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7 changes: 7 additions & 0 deletions examples/data/databases/graph/grakn/graql/README.md
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- [Query pattern](https://dev.grakn.ai/docs/pattern/overview)
- [Natural Language Processing for Fuzzy String Matching with Python](https://towardsdatascience.com/natural-language-processing-for-fuzzy-string-matching-with-python-6632b7824c49)
- [Words of estimative probability](https://en.wikipedia.org/wiki/Words_of_estimative_probability)

## Disclaimer

All the code and scripts container in this folder and the main folder `grakn` are a proof-of-concept work to illustrate use-case(s) and usage scenarios. It is not mean to be a full-fledge solution and is adapted to a certain dataset and hence all of the behaviours are in that order.

The code (this repo) and the referred datasets (see Grakns' docs and git repos)are available as F/OSS. The code is available here under the Apache license, see [license.txt](../license.txt) and can be used/changed accordingly. Grakn's resources are available under their said licenses (please check accordingly).

---

[back to README](../README.md)

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