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Thomas Wilkerling
2025-03-01 12:52:37 +01:00
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README.md
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@@ -40,7 +40,7 @@ You can help me by making a personal donation to keep this project alive and als
<h1></h1>
When it comes to raw search speed <a href="https://nextapps-de.github.io/flexsearch/bench/" target="_blank">FlexSearch outperforms every single searching library out there</a> and also provides flexible search capabilities like multi-field search, phonetic transformations or partial matching.
When it comes to raw search speed <a href="https://nextapps-de.github.io/flexsearch/" target="_blank">FlexSearch outperforms every single searching library out there</a> and also provides flexible search capabilities like multi-field search, phonetic transformations or partial matching.
Depending on the used <a href="#options">options</a> it also provides the <a href="#memory">most memory-efficient index</a>. FlexSearch introduce a new scoring algorithm called <a href="#contextual">"contextual index"</a> based on a <a href="#dictionary">pre-scored lexical dictionary</a> architecture which actually performs queries up to 1,000,000 times faster compared to other libraries.
FlexSearch also provides you a non-blocking asynchronous processing model as well as web workers to perform any updates or queries on the index in parallel through dedicated balanced threads.
@@ -55,8 +55,8 @@ Demos:
-->
Library Comparison "Gulliver's Travels":
- <a href="https://nextapps-de.github.io/flexsearch/bench/" target="_blank">Performance Benchmark</a>
- <a href="https://nextapps-de.github.io/flexsearch/bench/match.html" target="_blank">Scoring Benchmark</a>
- <a href="https://nextapps-de.github.io/flexsearch/" target="_blank">Performance Benchmark</a>
- <a href="https://nextapps-de.github.io/flexsearch/match.html" target="_blank">Scoring Benchmark</a>
- <a href="#consumption">Memory Consumption</a>
Plugins (extern projects):
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<a name="compare" id="compare"></a>
## Performance Benchmark (Ranking)
Run Comparison: <a href="https://nextapps-de.github.io/flexsearch/bench/" target="_blank">Performance Benchmark "Gulliver's Travels"</a>
Run Comparison: <a href="https://nextapps-de.github.io/flexsearch/" target="_blank">Performance Benchmark "Gulliver's Travels"</a>
Operation per seconds, higher is better, except the test "Memory" on which lower is better.
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> __Note:__ This feature is disabled by default because of its extended memory usage. Read <a href="#contextual_enable">here</a> get more information about and how to enable.
FlexSearch introduce a new scoring mechanism called __Contextual Search__ which was invented by <a href="https://github.com/ts-thomas" target="_blank">Thomas Wilkerling</a>, the author of this library. A Contextual Search <a href="https://nextapps-de.github.io/flexsearch/bench/" target="_blank">incredibly boost up queries to a complete new level</a> but also requires some additional memory (depending on ___depth___).
FlexSearch introduce a new scoring mechanism called __Contextual Search__ which was invented by <a href="https://github.com/ts-thomas" target="_blank">Thomas Wilkerling</a>, the author of this library. A Contextual Search <a href="https://nextapps-de.github.io/flexsearch/" target="_blank">incredibly boost up queries to a complete new level</a> but also requires some additional memory (depending on ___depth___).
The basic idea of this concept is to limit relevance by its context instead of calculating relevance through the whole distance of its corresponding document.
This way contextual search also <a href="https://nextapps-de.github.io/flexsearch/bench/match.html" target="_blank">improves the results of relevance-based queries</a> on a large amount of text data.
This way contextual search also <a href="https://nextapps-de.github.io/flexsearch/match.html" target="_blank">improves the results of relevance-based queries</a> on a large amount of text data.
<p align="center">
<img src="https://cdn.jsdelivr.net/gh/nextapps-de/flexsearch@master/doc/contextual-index.svg?v=4" width="100%">