https://github.com/mikegoatly/lifti
A lightweight full text indexer for .NET
https://github.com/mikegoatly/lifti
dotnet-standard full-text-search object-indexing text-indexing text-search trie trie-tree
Last synced: 5 months ago
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A lightweight full text indexer for .NET
- Host: GitHub
- URL: https://github.com/mikegoatly/lifti
- Owner: mikegoatly
- License: mit
- Created: 2019-07-29T22:00:05.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2025-03-08T12:32:36.000Z (7 months ago)
- Last Synced: 2025-05-09T21:49:53.584Z (5 months ago)
- Topics: dotnet-standard, full-text-search, object-indexing, text-indexing, text-search, trie, trie-tree
- Language: C#
- Homepage:
- Size: 74.5 MB
- Stars: 189
- Watchers: 6
- Forks: 9
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[](https://goatly.visualstudio.com/LIFTI/_build/latest?definitionId=14&branchName=master)
# LIFTI
A lightweight full text indexer for .NET
Key features:
* [๐ Indexing loose text](https://mikegoatly.github.io/lifti/docs/getting-started/)
* [๐ผ Indexing object properties](https://mikegoatly.github.io/lifti/docs/getting-started/indexing-objects/)
* [๐ Powerful query language](https://mikegoatly.github.io/lifti/docs/searching/lifti-query-syntax/)
* [๐ Thesaurus](https://mikegoatly.github.io/lifti/docs/index-construction/withdefaultthesaurus/)
* [๐๏ธ Compact binary serialized format](https://mikegoatly.github.io/lifti/docs/serialization/)## Getting started
[๐ Read the documentation](https://mikegoatly.github.io/lifti/docs) - there's lots of useful information and examples there, along
with some [getting started guides](https://mikegoatly.github.io/lifti/docs/getting-started/) and [recipes](https://mikegoatly.github.io/lifti/docs/recipes/).[๐งโ๐ป Check out some sample code](https://github.com/mikegoatly/lifti/tree/master/samples/TestConsole) - the repo contains examples that can be run as a console application.
[๐คนโโ๏ธ Use LIFTI in a Blazor app](https://mikegoatly.github.io/lifti/blazor-sample) - try out various queries against Wikipedia content
## Support
If you find LIFTI useful, why not buy me a coffee to power the development work?
[](https://www.buymeacoffee.com/mikegoatly)
## Contribute
It would be great to have more people contributing to LIFTI - how can you help?
* Create issues for bugs you find - **level 1**
* Create feature suggestions - **level 2**
* Create pull requests for documentation changes - **level 3**
* Create pull requests for bug fixes or features - **boss level**### Documentation contributions
1. Install [hugo-extended](https://gohugo.io/installation/), e.g. by using `winget install Hugo.Hugo.Extended` on Windows.
1. Fork the LIFTI repo and clone your fork locally
1. Initialize the docsy theme git submodule using `git submodule update --recursive --init`
1. Edit the documentation
1. Test the site locally by running `hugo server` from the `docs` folder
1. Create a pull request for your changes