diff --git a/README.md b/README.md index 37d62f1..a10c85c 100644 --- a/README.md +++ b/README.md @@ -17,32 +17,14 @@ Let's discuss the upcoming FlexSearch v0.8 here: https://github.com/nextapps-de/ ## Support this Project -Hello my name is Thomas, also known as ts-thomas. This is a personal project which I fully made in my free time. It is hosted by the Github account from the company Nextapps where I work to give it more exposure. -I have never received any financial support for this project from the company Nextapps as some of you might have guessed, since it is a free and open source project. -I'm really happy that FlexSearch is getting so much positive feedback and also feature requests. Please feel free to support me by making a personal donation which helps me a lot to keep this project alive and also to providing all the contribution to keep FlexSearch on a professional top-end level. - - - Donate using Open Collective - - - Donate using Github Sponsors - - - Donate using Liberapay - - - Donate using Patreon - - - Donate using Bountysource - - - Donate using PayPal - - -

-Thanks a lot, -Thomas (ts-thomas) +You can help me by making a personal donation to keep this project alive and also to provide all the contribution to solve your needs. + +Donate using Open Collective +Donate using Github Sponsors +Donate using Liberapay +Donate using Patreon +Donate using Bountysource +Donate using PayPal

@@ -400,19 +382,6 @@ Operation per seconds, higher is better, except the test "Memory" on which lower - -## Contextual Search - -> __Note:__ This feature is disabled by default because of its extended memory usage. Read here get more information about and how to enable. - -FlexSearch introduce a new scoring mechanism called __Contextual Search__ which was invented by Thomas Wilkerling, the author of this library. A Contextual Search incredibly boost up queries to a complete new level 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 improves the results of relevance-based queries on a large amount of text data. - -

- -

- ## Load Library @@ -442,7 +411,7 @@ The most of you probably need just one of them according to your scenario. ``` -### ESM/ES6 Modules: +#### ESM/ES6 Modules: ```html