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A document vector search with flexible matrix transforms. Currently supports Latent semantic analysis and Term frequency - inverse document frequency
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Add support to complex resources of PostgreSQL, like data types, array associations, auxiliary statements (CTE), and full-text search (FTS)
2021
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A tool for scraping emails, social media accounts, and many more information from websites using Google Search Results.
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0.04
Simple datatables to rails mapping using meta_search, will_paginage and jsonify
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Ruby library for interacting with Xapian. Includes full text search, faceted options, spelling suggestions, and more.
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Rails integration for the Sunspot Solr search library
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Testing sunspot with cucumber can be a pain. This gem will automatically start/stop solr with cucumber scenarios tagged with @search
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The Puppet Module Tool creates, installs and searches for Puppet modules.
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Crazy fast text search using Redis. Works with any ORM or data store.
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This gem adds full text search capabilities and many other nifty features from Apache Solr to any Rails model.
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A gem for Japan Post's official zipcode data search & update.
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Track keywords search, checkout events, add to cart, remove from cart and other events.
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Ruby API Client for FederalRegister.gov that handles searching documents and getting information about agencies
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IndexTank is a great search indexing service, this gem tries to make any orm keep in sync with indextank with ease
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A cocoapods plugin which using hmap instead of header search paths to improve preprocess time.
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Generate autocomplete suggestions based on what your users search
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These matchers and assertions allow you to test what is happening inside the Sunspot Search DSL blocks
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an implementation of TextMate's cmd-T search functionality
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Docsplit is a command-line utility and Ruby library for splitting apart
documents into their component parts: searchable UTF-8 plain text, page
images or thumbnails in any format, PDFs, single pages, and document
metadata (title, author, number of pages...)
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Efficient similarity search and clustering for Ruby
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