👁 Image
LunrCore 2.3.10

lunr-core

A port of lunr.js to .NET Core. Lunr is a bit like Solr, but much smaller and not as bright.

👁 .NET Core

TODO / up for grabs

• Multilingual support (lunr has optional support that remains to be ported)
• Documentation (adapted from lunr docs)

Example

A very simple search index can be created using the following:

var index = await Index.Build(async builder =>
{
 builder
 .AddField("title")
 .AddField("body");

 await builder.Add(new Document
 {
 { "title", "Twelfth-Night" },
 { "body", "If music be the food of love, play on: Give me excess of it…" },
 { "author", "William Shakespeare" },
 { "id", "1" },
 });
});

Then searching is as simple as:

await foreach (Result result in index.Search("love"))
{
 // do something with that result
}

This returns a list of matching documents with a score of how closely they match, the search query as well as any associated metadata about the match:

new List<Result>
{
 new Result(
 documentReference: "1",
 score: 0.3535533905932737,
 matchData: new MatchData(
 term: "love",
 field: "body"
 )
 )
}

Description

Lunr-core is a small, full-text search library for use in small applications. It indexes documents and provides a simple search interface for retrieving documents that best match text queries. It is 100% compatible with lunr.js, meaning that an index file prepared on the server with lunr-core can be used on the client using lunr.js.

Why

Lunr-core is suitable for small applications that require a simple search engine but without the overhead of a full-scale search engine such as Lucene. Its compatibility with lunr.js also opens up some interesting client-side search scenarios.

Features

• Soon: Full text search support for 14 languages
• Boost terms at query time or boost entire documents at index time
• Scope searches to specific fields
• Fuzzy term matching with wildcards or edit distance
• No runtime dependencies beyond SDK, BCL AsyncInterfaces and System.Text.Json

Credits

• Original code by Oliver Nightingale and contributors, ported to .NET Core by Bertrand Le Roy.
• Icon adapted from https://commons.wikimedia.org/wiki/File:Internal_Structure_of_the_Moon.JPG by Iqbal Mahmud under Creative Commons Attribution Share Alike 4.0 International.
• Perf tests use a word list by Sindre Sorhus.