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    <title>Pinboard (mlednor)</title>
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    <description>recent bookmarks from mlednor</description>
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    <title>Pagefind | Pagefind — Static low-bandwidth search at scale</title>
    <dc:date>2023-11-09T08:26:59+00:00</dc:date>
    <link>https://pagefind.app/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[Pagefind is a fully static search library that aims to perform well on large sites, while using as little of your users’ bandwidth as possible, and without hosting any infrastructure.

Pagefind runs after Hugo, Eleventy, Jekyll, Next, Astro, SvelteKit, or any other website framework. The installation process is always the same: Pagefind only requires a folder containing the built static files of your website, so in most cases no configuration is needed to get started.

After indexing, Pagefind adds a static search bundle to your built files, which exposes a JavaScript search API that can be used anywhere on your site. Pagefind also provides a prebuilt UI that can be used with no configuration. (You can see the prebuilt UI at the top of this page.)

The goal of Pagefind is that websites with tens of thousands of pages should be searchable by someone in their browser, while consuming as little bandwidth as possible. Pagefind’s search index is split into chunks, so that searching in the browser only ever needs to load a small subset of the search index. Pagefind can run a full-text search on a 10,000 page site with a total network payload under 300kB, including the Pagefind library itself. For most sites, this will be closer to 100kB.]]></description>
<dc:subject>search static tools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mlednor/b:f4f50d6c56ee/</dc:identifier>
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    <title>elasticsearch - - Open Source, Distributed, RESTful, Search Engine</title>
    <dc:date>2012-10-13T18:45:50+00:00</dc:date>
    <link>http://www.elasticsearch.org/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[So, we build a web site or an application and want to add search to it, and then it hits us: getting search working is hard. We want our search solution to be fast, we want a painless setup and a completely free search schema, we want to be able to index data simply using JSON over HTTP, we want our search server to be always available, we want to be able to start with one machine and scale to hundreds, we want real-time search, we want simple multi-tenancy, and we want a solution that is built for the cloud.

"This should be easier", we declared, "and cool, bonsai cool".

elasticsearch aims to solve all these problems and more. It is an Open Source (Apache 2), Distributed, RESTful, Search Engine built on top of Apache Lucene.]]></description>
<dc:subject>search java</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mlednor/b:3cc867f77382/</dc:identifier>
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<item rdf:about="http://www.supercook.com/">
    <title>Supercook: recipe search by ingredients you have at home</title>
    <dc:date>2012-05-24T12:37:09+00:00</dc:date>
    <link>http://www.supercook.com/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[Recipe search by ingredients you have at home.]]></description>
<dc:subject>cooking food recipes search</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mlednor/b:d0f6e4b4feba/</dc:identifier>
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<item rdf:about="http://rubysource.com/flexible-searching-with-solr-and-sunspot/">
    <title>Flexible Searching with Solr and Sunspot » RubySource</title>
    <dc:date>2012-03-07T16:47:21+00:00</dc:date>
    <link>http://rubysource.com/flexible-searching-with-solr-and-sunspot/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[Just about every type of datastore has some form of indexing. A typical relational database, such as MySQL or PostreSQL, can index fields for efficient querying. Most document databases, like MongoDB, contain indexing as well. Indexing in a relational database is almost always done for one reason: speed. However, sometimes you need more than just speed, you need flexibility. That’s where Solr comes in.

In this article, I want to outline how Solr can benefit your project’s indexing capabilities. I’ll start by introducing indexing and expand to show how Solr can be used within a Rails application.]]></description>
<dc:subject>ruby search</dc:subject>
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<dc:identifier>https://pinboard.in/u:mlednor/b:d66f8496dc6c/</dc:identifier>
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<item rdf:about="http://outoftime.github.com/sunspot/">
    <title>Sunspot: Solr-powered search for Ruby objects</title>
    <dc:date>2011-04-06T09:38:25+00:00</dc:date>
    <link>http://outoftime.github.com/sunspot/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[All the power of the Solr search engine; all the beauty of Ruby. Sunspot exposes all of Solr's most powerful search features using an API of elegant DSLs. That means robust, flexible fulltext search with no boolean queries and no string programming.]]></description>
<dc:subject>rails ruby search</dc:subject>
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<dc:identifier>https://pinboard.in/u:mlednor/b:c4d7a8bbe89a/</dc:identifier>
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<item rdf:about="http://www.searchtastic.com/">
    <title>Searchtastic.com - search Twitter history and export tweets to Excel</title>
    <dc:date>2010-05-03T07:14:33+00:00</dc:date>
    <link>http://www.searchtastic.com/</link>
    <dc:creator>mlednor</dc:creator><description><![CDATA[Smart Twitter Search.]]></description>
<dc:subject>twitter search</dc:subject>
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    <title>Sphinx - Free open-source SQL full-text search engine</title>
    <dc:date>2010-01-12T15:39:42+00:00</dc:date>
    <link>http://www.sphinxsearch.com/</link>
    <dc:creator>mlednor</dc:creator><dc:subject>mysql search</dc:subject>
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    <title>Rodi</title>
    <dc:date>2009-11-22T11:08:18+00:00</dc:date>
    <link>http://rodi.sourceforge.net/</link>
    <dc:creator>mlednor</dc:creator><dc:subject>search</dc:subject>
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