Building a Full-Text Search App Using Docker and Elasticsearch
How does Wikipedia sort though 5+ million articles to find the most relevant one for your research?
How does Facebook find the friend who you're looking for (and whose name you've misspelled), across a userbase of 2+ billion people?
How does Google search the entire internet for webpages relevant to your vague, typo-filled search query?
In this tutorial, we'll walk through setting up our own full-text search application (of an admittedly lesser complexity than the systems in the questions above). Our example app will provide a UI and API to search the complete texts of 100 literary classics such as Peter Pan, Frankenstein, and Treasure Island.
You can preview a completed version of the tutorial app here - https://search.patricktriest.com
To read more, visit - https://blog.patricktriest.com/text-search-docker-elasticsearch/
This application is 100% open-source, feel free to utilize the code however you would like.
The MIT License (MIT)
Copyright (c) 2018 Patrick Triest
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