

-
You can find the source code of an example project that we're going to build here. The commit history more or less corresponds to the order of the sections in this article.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Running GET queries from the browser using some extension for pretty printing JSON.
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Let's add Elasticsearch into the mix. To do so, we will need the elasticsearch-model gem. It's an official Elasticsearch gem that integrates nicely with Rails models.
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The Ruby gem
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Searchkick
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Chewy
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Using curl from the command-line (you might find jq handy).
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Nutrient
Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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is built on top of Apache Lucene;
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The easiest way to install Elasticsearch on macOS is to use brew:
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Full Text Searching in a MySQL database via rails.
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searchkick resource_already_exists_exception
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Searchkick: Intelligent Search Made Easy
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Most performant way to build an analytics dashboard from a relational database backend that only stores numeric values, where the data the end-user sees is "categorized" into numeric brackets (e.g. 60-79 = Med, 80-100 = High, etc)
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How does elasticsearch work with a rails app that's already connected to a MySQL database.