High Performance
Sphinx Search is optimized for high performance, allowing it to handle large datasets efficiently and perform searches quickly.
Full-Text Search
It provides robust full-text search capabilities, including support for advanced search operators and ranking algorithms.
Scalability
Designed to scale both vertically and horizontally, making it suitable for projects that need to accommodate growing data volumes.
Integration
Sphinx can easily integrate with various programming languages and existing databases like MySQL, PostgreSQL, and more.
Open Source
Being an open-source software, Sphinx provides flexibility in terms of customization and cost-effectiveness.
Sphinx is a search engine that can be integrated into a website to provide advanced search functionality such as full-text, Boolean, and faceted search. It is a powerful open-source search engine that can handle large amounts of data and quickly return results. - Source: dev.to / about 2 years ago
Have been using Sphinx. It does some processing around suffixes, tenses, and so on, and looks at word proximity (BM25), but is definitely limited. Source: about 2 years ago
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 2 years ago
Using a natural language search will almost certainly be a better solution and PHP may not be the best tool for this task. Figure out how you are going to get the text out of the PDF and where you are going to put it. Look at things like sphinx and full text search in boolean mode for doing the keyword matching. Source: over 2 years ago
In practice though you don't do any of this, you get a library to do it for you. I've used Sphinx Search in the past for some fairly hefty (In the order of terabytes), and there's a good book covering how to get it all set up and started. Source: almost 3 years ago
Five years ago Manticore began as a fork of an open source version of the once popular search engine Sphinx Search. We had two bags of grass, seventy-five pellets of mescaline, three C++ developers, a support engineer, a power user of Sphinx Search / backend team lead, an experienced manager, a mother of five helping us part-time, and a ton of bugs, crashes, and technical debts. So we got a shovel and other... - Source: dev.to / almost 3 years ago
Finally if you really want a full fledged solution the most popular are good old Sphinx http://sphinxsearch.com or Apache Solr https://solr.apache.org but as these take a bit of time to setup I'd make sure that's truly needed. Chances are unless your collection is the size of the Library of Congress you are probably fine with ripgrep on your own indexes as text or some R package or sqlite FTS5 extension... Source: almost 3 years ago
An old fact from 2014 December 12th was significant for Vinted: the company switched from Sphinx search engine to Elasticsearch 1.4.1. At the time of writing this post, we use Elasticsearch 7.15. Without a doubt, a lot has happened in between. This chapter will focus on Elasticsearch metrics, we will share our accumulated experiences from four generations of collecting metrics. - Source: dev.to / over 3 years ago
Generate the index e.g bash script or http://sphinxsearch.com or even more conveniently docker pull macbre/sphinxsearch:latest. Source: over 3 years ago
If you want a more granular system, take a look at the Sphinx Open Source Search Engine. Source: almost 4 years ago
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