ahmetkocadogan / lunr-core

A port of LUNR.js to .NET Core

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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)
  • Performance benchmarks (lunr has some benchmarks that can 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 idx.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

About

A port of LUNR.js to .NET Core

License:MIT License


Languages

Language:C# 100.0%