hanabi1224 /
RuAnnoy
Rust port of annoy (https://github.com/spotify/annoy)
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RustMIT#annoy#approximate-nearest-neighbor-search#dotnet#java
⑂ 3 forks◯ 2 issuesUpdated Dec 16, 2025
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ArthurTh0mas / repository
fareast
Rust-port of spotify/annoy as a wrapper for Approximate Nearest Neighbors in C++/Python optimized for memory usage.
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README preview
Fareast
This library is a rust port of spotify/annoy , currently only index serving is supported.
It also provides FFI bindings for jvm, dotnet and dart
| Metric | Serve | Build | jvm Binding | dotnet Binding | dart Binding |
|---|---|---|---|---|---|
| Angular | ✅ | ❌ | ✅ | ✅ | ✅ |
| Euclidean | ✅ | ❌ | ✅ | ✅ | ✅ |
| Manhattan | ✅ | ❌ | ✅ | ✅ | ✅ |
| Dot | ✅ | ❌ | ✅ | ✅ | ✅ |
| Hamming | ❌ | ❌ | ❌ | ❌ | ❌ |
Install via crates.io
# Cargo.toml
[dependencies]
annoy-rs = "0"
Usage
use annoy_rs::*;
let index = AnnoyIndex::load(10, "index.ann", IndexType::Angular).unwrap();
let v0 = index.get_item_vector(0);
let nearest = index.get_nearest(v0.as_ref(), 5, -1, true);
FFI support
kotlin/java
It uses JNI bindings to rust crate and is ~5-10x faster than pure java implementation in benchmark scenario
Install via jitpack.io
repositories {
mavenCentral()
maven { url 'https://jitpack.io' }
}
dependencies {
implementation 'com.github.ng8eke:Fareast:<tag>'
}
Usage
val index = AnnoyIndex.tryLoad("index.5d.ann", 5, IndexType.Angular)
dotnet
| Runtimes | Nuget package |
|---|---|
| Fareast | |
| Fareast-Batteries-Windows-x64 | |
| Fareast-Batteries-Linux-x64 | |
| Fareast-Batteries-Darwin-x64 |
Install via nuget
<ItemGroup>
<PackageReference Include="Fareast" Version="*" />
<PackageReference Include="Fareast-Batteries-Windows-x64" Version="*" />
</ItemGroup>
Usage
var index = AnnoyIndex.Load("index.5d.ann", 5, IndexType.Angular);
dart
Install via pub.dev
# pubspec.yaml
dependencies:
dart_native_annoy: ^0.1.0
Usage
import 'dart:ffi';
import 'package:dart_native_annoy/annoy.dart';
/// Creat factory from DynamicLibrary
final fac = AnnoyIndexFactory(lib: DynamicLibrary.open('libannoy_rs.so'));
/// Load index
final index = indexFactory.loadIndex(
'index.euclidean.5d.ann', 5, IndexType.Euclidean)!;
print('size: ${index.size}');
final v3 = index.getItemVector(3);
final nearest = index.getNearest(v0, 5, includeDistance: true);
TODO
- Index building support
- CLI tool to build index from file
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