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Update content/develop/get-started/vector-database.md
Co-authored-by: David Dougherty <david.dougherty@redis.com>
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content/develop/get-started/vector-database.md

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1. You can learn more about the query options, such as filters and vector range queries, by reading the [vector reference documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}}).
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2. The complete [Redis Query Engine documentation]({{< relref "/develop/interact/search-and-query/" >}}) might be interesting for you.
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3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb)) that inspired this quick start guide.
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3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb) that inspired this quick start guide.
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4. If you want to see more advanced examples of a Redis vector database in action, visit the [Redis AI Resources](https://github.com/redis-developer/redis-ai-resources) page on GitHub.
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## Continue learning with Redis University

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