Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'
This commit is contained in:
ruv
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||||
dependencies = [
|
||||
"unicode-ident",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "wasm-bindgen-test"
|
||||
version = "0.3.58"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "45649196a53b0b7a15101d845d44d2dda7374fc1b5b5e2bbf58b7577ff4b346d"
|
||||
dependencies = [
|
||||
"async-trait",
|
||||
"cast",
|
||||
"js-sys",
|
||||
"libm",
|
||||
"minicov",
|
||||
"nu-ansi-term",
|
||||
"num-traits",
|
||||
"oorandom",
|
||||
"serde",
|
||||
"serde_json",
|
||||
"wasm-bindgen",
|
||||
"wasm-bindgen-futures",
|
||||
"wasm-bindgen-test-macro",
|
||||
"wasm-bindgen-test-shared",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "wasm-bindgen-test-macro"
|
||||
version = "0.3.58"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f579cdd0123ac74b94e1a4a72bd963cf30ebac343f2df347da0b8df24cdebed2"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "wasm-bindgen-test-shared"
|
||||
version = "0.2.108"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a8145dd1593bf0fb137dbfa85b8be79ec560a447298955877804640e40c2d6ea"
|
||||
|
||||
[[package]]
|
||||
name = "wasm_sync"
|
||||
version = "0.1.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "cff360cade7fec41ff0e9d2cda57fe58258c5f16def0e21302394659e6bbb0ea"
|
||||
dependencies = [
|
||||
"js-sys",
|
||||
"wasm-bindgen",
|
||||
"web-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "web-sys"
|
||||
version = "0.3.85"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "312e32e551d92129218ea9a2452120f4aabc03529ef03e4d0d82fb2780608598"
|
||||
dependencies = [
|
||||
"js-sys",
|
||||
"wasm-bindgen",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "wide"
|
||||
version = "0.7.33"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0ce5da8ecb62bcd8ec8b7ea19f69a51275e91299be594ea5cc6ef7819e16cd03"
|
||||
dependencies = [
|
||||
"bytemuck",
|
||||
"safe_arch",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "winapi-util"
|
||||
version = "0.1.11"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c2a7b1c03c876122aa43f3020e6c3c3ee5c05081c9a00739faf7503aeba10d22"
|
||||
dependencies = [
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "windows-link"
|
||||
version = "0.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f0805222e57f7521d6a62e36fa9163bc891acd422f971defe97d64e70d0a4fe5"
|
||||
|
||||
[[package]]
|
||||
name = "windows-sys"
|
||||
version = "0.61.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ae137229bcbd6cdf0f7b80a31df61766145077ddf49416a728b02cb3921ff3fc"
|
||||
dependencies = [
|
||||
"windows-link",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zerocopy"
|
||||
version = "0.8.33"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "668f5168d10b9ee831de31933dc111a459c97ec93225beb307aed970d1372dfd"
|
||||
dependencies = [
|
||||
"zerocopy-derive",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zerocopy-derive"
|
||||
version = "0.8.33"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2c7962b26b0a8685668b671ee4b54d007a67d4eaf05fda79ac0ecf41e32270f1"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zmij"
|
||||
version = "1.0.14"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "bd8f3f50b848df28f887acb68e41201b5aea6bc8a8dacc00fb40635ff9a72fea"
|
||||
37
vendor/ruvector/crates/ruvector-hyperbolic-hnsw-wasm/Cargo.toml
vendored
Normal file
37
vendor/ruvector/crates/ruvector-hyperbolic-hnsw-wasm/Cargo.toml
vendored
Normal file
@@ -0,0 +1,37 @@
|
||||
[package]
|
||||
name = "ruvector-hyperbolic-hnsw-wasm"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
rust-version = "1.77"
|
||||
license = "MIT"
|
||||
authors = ["RuVector Team"]
|
||||
repository = "https://github.com/ruvnet/ruvector"
|
||||
description = "WebAssembly bindings for hyperbolic HNSW embeddings - hierarchy-aware vector search in the browser"
|
||||
keywords = ["wasm", "hyperbolic", "poincare", "hnsw", "vector-search"]
|
||||
categories = ["wasm", "mathematics", "algorithms"]
|
||||
|
||||
[lib]
|
||||
crate-type = ["cdylib", "rlib"]
|
||||
|
||||
[features]
|
||||
default = ["console_error_panic_hook"]
|
||||
parallel = ["rayon", "wasm-bindgen-rayon"]
|
||||
|
||||
[dependencies]
|
||||
ruvector-hyperbolic-hnsw = { path = "../ruvector-hyperbolic-hnsw", default-features = false }
|
||||
wasm-bindgen = "0.2.106"
|
||||
js-sys = "0.3"
|
||||
web-sys = { version = "0.3", features = ["console"] }
|
||||
getrandom = { version = "0.2", features = ["js"] }
|
||||
serde = { version = "1.0", features = ["derive"] }
|
||||
serde_json = "1.0"
|
||||
serde-wasm-bindgen = "0.6"
|
||||
console_error_panic_hook = { version = "0.1", optional = true }
|
||||
rayon = { version = "1.10", optional = true }
|
||||
wasm-bindgen-rayon = { version = "1.2", optional = true }
|
||||
|
||||
[package.metadata.wasm-pack.profile.release]
|
||||
wasm-opt = ["-O3", "--enable-simd"]
|
||||
|
||||
[dev-dependencies]
|
||||
wasm-bindgen-test = "0.3"
|
||||
632
vendor/ruvector/crates/ruvector-hyperbolic-hnsw-wasm/src/lib.rs
vendored
Normal file
632
vendor/ruvector/crates/ruvector-hyperbolic-hnsw-wasm/src/lib.rs
vendored
Normal file
@@ -0,0 +1,632 @@
|
||||
//! WebAssembly Bindings for Hyperbolic HNSW
|
||||
//!
|
||||
//! This module provides JavaScript/TypeScript bindings for hyperbolic embeddings
|
||||
//! and HNSW search in the browser and Node.js environments.
|
||||
//!
|
||||
//! # Usage in JavaScript
|
||||
//!
|
||||
//! ```javascript
|
||||
//! import init, {
|
||||
//! HyperbolicIndex,
|
||||
//! poincareDistance,
|
||||
//! mobiusAdd,
|
||||
//! expMap,
|
||||
//! logMap
|
||||
//! } from 'ruvector-hyperbolic-hnsw-wasm';
|
||||
//!
|
||||
//! // Initialize WASM module
|
||||
//! await init();
|
||||
//!
|
||||
//! // Create index
|
||||
//! const index = new HyperbolicIndex(16, 1.0); // ef_search=16, curvature=1.0
|
||||
//!
|
||||
//! // Insert vectors
|
||||
//! index.insert(new Float32Array([0.1, 0.2, 0.3]));
|
||||
//! index.insert(new Float32Array([-0.1, 0.15, 0.25]));
|
||||
//!
|
||||
//! // Search
|
||||
//! const results = index.search(new Float32Array([0.15, 0.1, 0.2]), 2);
|
||||
//! console.log(results); // [{id: 0, distance: 0.123}, ...]
|
||||
//!
|
||||
//! // Use low-level math operations
|
||||
//! const d = poincareDistance(
|
||||
//! new Float32Array([0.3, 0.2]),
|
||||
//! new Float32Array([-0.1, 0.4]),
|
||||
//! 1.0
|
||||
//! );
|
||||
//! ```
|
||||
|
||||
use ruvector_hyperbolic_hnsw::{
|
||||
exp_map, frechet_mean, log_map, mobius_add, mobius_scalar_mult, poincare_distance,
|
||||
project_to_ball, HyperbolicHnsw, HyperbolicHnswConfig, PoincareConfig, ShardedHyperbolicHnsw,
|
||||
TangentCache, DEFAULT_CURVATURE, EPS,
|
||||
};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use wasm_bindgen::prelude::*;
|
||||
|
||||
#[cfg(feature = "console_error_panic_hook")]
|
||||
fn set_panic_hook() {
|
||||
console_error_panic_hook::set_once();
|
||||
}
|
||||
|
||||
/// Initialize the WASM module
|
||||
#[wasm_bindgen(start)]
|
||||
pub fn init() {
|
||||
#[cfg(feature = "console_error_panic_hook")]
|
||||
set_panic_hook();
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Low-Level Math Operations
|
||||
// ============================================================================
|
||||
|
||||
/// Compute Poincaré distance between two points
|
||||
///
|
||||
/// @param u - First point (Float32Array)
|
||||
/// @param v - Second point (Float32Array)
|
||||
/// @param curvature - Curvature parameter (positive)
|
||||
/// @returns Geodesic distance in hyperbolic space
|
||||
#[wasm_bindgen(js_name = poincareDistance)]
|
||||
pub fn wasm_poincare_distance(u: &[f32], v: &[f32], curvature: f32) -> f32 {
|
||||
poincare_distance(u, v, curvature)
|
||||
}
|
||||
|
||||
/// Möbius addition in Poincaré ball
|
||||
///
|
||||
/// Computes the hyperbolic analog of vector addition: x ⊕_c y
|
||||
///
|
||||
/// @param x - First point (Float32Array)
|
||||
/// @param y - Second point (Float32Array)
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Result of Möbius addition (Float32Array)
|
||||
#[wasm_bindgen(js_name = mobiusAdd)]
|
||||
pub fn wasm_mobius_add(x: &[f32], y: &[f32], curvature: f32) -> Vec<f32> {
|
||||
mobius_add(x, y, curvature)
|
||||
}
|
||||
|
||||
/// Möbius scalar multiplication
|
||||
///
|
||||
/// Computes r ⊗_c x for scalar r and point x
|
||||
///
|
||||
/// @param r - Scalar value
|
||||
/// @param x - Point in Poincaré ball (Float32Array)
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Scaled point (Float32Array)
|
||||
#[wasm_bindgen(js_name = mobiusScalarMult)]
|
||||
pub fn wasm_mobius_scalar_mult(r: f32, x: &[f32], curvature: f32) -> Vec<f32> {
|
||||
mobius_scalar_mult(r, x, curvature)
|
||||
}
|
||||
|
||||
/// Exponential map at point p
|
||||
///
|
||||
/// Maps a tangent vector v at point p to the Poincaré ball
|
||||
///
|
||||
/// @param v - Tangent vector (Float32Array)
|
||||
/// @param p - Base point (Float32Array)
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Point on the manifold (Float32Array)
|
||||
#[wasm_bindgen(js_name = expMap)]
|
||||
pub fn wasm_exp_map(v: &[f32], p: &[f32], curvature: f32) -> Vec<f32> {
|
||||
exp_map(v, p, curvature)
|
||||
}
|
||||
|
||||
/// Logarithmic map at point p
|
||||
///
|
||||
/// Maps a point y to the tangent space at point p
|
||||
///
|
||||
/// @param y - Target point (Float32Array)
|
||||
/// @param p - Base point (Float32Array)
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Tangent vector at p (Float32Array)
|
||||
#[wasm_bindgen(js_name = logMap)]
|
||||
pub fn wasm_log_map(y: &[f32], p: &[f32], curvature: f32) -> Vec<f32> {
|
||||
log_map(y, p, curvature)
|
||||
}
|
||||
|
||||
/// Project point to Poincaré ball
|
||||
///
|
||||
/// Ensures ||x|| < 1/√c - eps for numerical stability
|
||||
///
|
||||
/// @param x - Point to project (Float32Array)
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Projected point (Float32Array)
|
||||
#[wasm_bindgen(js_name = projectToBall)]
|
||||
pub fn wasm_project_to_ball(x: &[f32], curvature: f32) -> Vec<f32> {
|
||||
project_to_ball(x, curvature, EPS)
|
||||
}
|
||||
|
||||
/// Compute Fréchet mean (hyperbolic centroid)
|
||||
///
|
||||
/// @param points - Array of points as flat Float32Array
|
||||
/// @param dim - Dimension of each point
|
||||
/// @param curvature - Curvature parameter
|
||||
/// @returns Centroid point (Float32Array)
|
||||
#[wasm_bindgen(js_name = frechetMean)]
|
||||
pub fn wasm_frechet_mean(points: &[f32], dim: usize, curvature: f32) -> Result<Vec<f32>, JsValue> {
|
||||
if points.is_empty() || dim == 0 {
|
||||
return Err(JsValue::from_str("Empty points or invalid dimension"));
|
||||
}
|
||||
|
||||
let point_vecs: Vec<Vec<f32>> = points.chunks(dim).map(|c| c.to_vec()).collect();
|
||||
|
||||
let point_refs: Vec<&[f32]> = point_vecs.iter().map(|v| v.as_slice()).collect();
|
||||
|
||||
let config = PoincareConfig::with_curvature(curvature)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
|
||||
frechet_mean(&point_refs, None, &config).map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Search Result Type
|
||||
// ============================================================================
|
||||
|
||||
/// Search result from hyperbolic HNSW
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
#[wasm_bindgen]
|
||||
pub struct WasmSearchResult {
|
||||
/// Vector ID
|
||||
pub id: usize,
|
||||
/// Hyperbolic distance to query
|
||||
pub distance: f32,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
impl WasmSearchResult {
|
||||
#[wasm_bindgen(constructor)]
|
||||
pub fn new(id: usize, distance: f32) -> Self {
|
||||
Self { id, distance }
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Hyperbolic HNSW Index
|
||||
// ============================================================================
|
||||
|
||||
/// Hyperbolic HNSW Index for hierarchy-aware vector search
|
||||
///
|
||||
/// @example
|
||||
/// ```javascript
|
||||
/// const index = new HyperbolicIndex(16, 1.0);
|
||||
/// index.insert(new Float32Array([0.1, 0.2]));
|
||||
/// index.insert(new Float32Array([-0.1, 0.3]));
|
||||
/// const results = index.search(new Float32Array([0.05, 0.25]), 2);
|
||||
/// ```
|
||||
#[wasm_bindgen]
|
||||
pub struct HyperbolicIndex {
|
||||
inner: HyperbolicHnsw,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
impl HyperbolicIndex {
|
||||
/// Create a new hyperbolic HNSW index
|
||||
///
|
||||
/// @param ef_search - Size of dynamic candidate list during search (default: 50)
|
||||
/// @param curvature - Curvature parameter for Poincaré ball (default: 1.0)
|
||||
#[wasm_bindgen(constructor)]
|
||||
pub fn new(ef_search: Option<usize>, curvature: Option<f32>) -> Self {
|
||||
let mut config = HyperbolicHnswConfig::default();
|
||||
config.ef_search = ef_search.unwrap_or(50);
|
||||
config.curvature = curvature.unwrap_or(DEFAULT_CURVATURE);
|
||||
|
||||
Self {
|
||||
inner: HyperbolicHnsw::new(config),
|
||||
}
|
||||
}
|
||||
|
||||
/// Create with custom configuration
|
||||
///
|
||||
/// @param config - JSON configuration object
|
||||
#[wasm_bindgen(js_name = fromConfig)]
|
||||
pub fn from_config(config: JsValue) -> Result<HyperbolicIndex, JsValue> {
|
||||
let config: HyperbolicHnswConfig =
|
||||
serde_wasm_bindgen::from_value(config).map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
Ok(Self {
|
||||
inner: HyperbolicHnsw::new(config),
|
||||
})
|
||||
}
|
||||
|
||||
/// Insert a vector into the index
|
||||
///
|
||||
/// @param vector - Vector to insert (Float32Array)
|
||||
/// @returns ID of inserted vector
|
||||
#[wasm_bindgen]
|
||||
pub fn insert(&mut self, vector: &[f32]) -> Result<usize, JsValue> {
|
||||
self.inner
|
||||
.insert(vector.to_vec())
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Insert batch of vectors
|
||||
///
|
||||
/// @param vectors - Flat array of vectors
|
||||
/// @param dim - Dimension of each vector
|
||||
/// @returns Array of inserted IDs
|
||||
#[wasm_bindgen(js_name = insertBatch)]
|
||||
pub fn insert_batch(&mut self, vectors: &[f32], dim: usize) -> Result<Vec<usize>, JsValue> {
|
||||
let vecs: Vec<Vec<f32>> = vectors.chunks(dim).map(|c| c.to_vec()).collect();
|
||||
self.inner
|
||||
.insert_batch(vecs)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Search for k nearest neighbors
|
||||
///
|
||||
/// @param query - Query vector (Float32Array)
|
||||
/// @param k - Number of neighbors to return
|
||||
/// @returns Array of search results as JSON
|
||||
#[wasm_bindgen]
|
||||
pub fn search(&self, query: &[f32], k: usize) -> Result<JsValue, JsValue> {
|
||||
let results = self
|
||||
.inner
|
||||
.search(query, k)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
|
||||
let wasm_results: Vec<WasmSearchResult> = results
|
||||
.into_iter()
|
||||
.map(|r| WasmSearchResult::new(r.id, r.distance))
|
||||
.collect();
|
||||
|
||||
serde_wasm_bindgen::to_value(&wasm_results).map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Search with tangent space pruning (optimized)
|
||||
///
|
||||
/// @param query - Query vector (Float32Array)
|
||||
/// @param k - Number of neighbors to return
|
||||
/// @returns Array of search results as JSON
|
||||
#[wasm_bindgen(js_name = searchWithPruning)]
|
||||
pub fn search_with_pruning(&self, query: &[f32], k: usize) -> Result<JsValue, JsValue> {
|
||||
let results = self
|
||||
.inner
|
||||
.search_with_pruning(query, k)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
|
||||
let wasm_results: Vec<WasmSearchResult> = results
|
||||
.into_iter()
|
||||
.map(|r| WasmSearchResult::new(r.id, r.distance))
|
||||
.collect();
|
||||
|
||||
serde_wasm_bindgen::to_value(&wasm_results).map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Build tangent cache for optimized search
|
||||
#[wasm_bindgen(js_name = buildTangentCache)]
|
||||
pub fn build_tangent_cache(&mut self) -> Result<(), JsValue> {
|
||||
self.inner
|
||||
.build_tangent_cache()
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Get number of vectors in index
|
||||
#[wasm_bindgen]
|
||||
pub fn len(&self) -> usize {
|
||||
self.inner.len()
|
||||
}
|
||||
|
||||
/// Check if index is empty
|
||||
#[wasm_bindgen(js_name = isEmpty)]
|
||||
pub fn is_empty(&self) -> bool {
|
||||
self.inner.is_empty()
|
||||
}
|
||||
|
||||
/// Get vector dimension
|
||||
#[wasm_bindgen]
|
||||
pub fn dim(&self) -> Option<usize> {
|
||||
self.inner.dim()
|
||||
}
|
||||
|
||||
/// Update curvature parameter
|
||||
///
|
||||
/// @param curvature - New curvature value (must be positive)
|
||||
#[wasm_bindgen(js_name = setCurvature)]
|
||||
pub fn set_curvature(&mut self, curvature: f32) -> Result<(), JsValue> {
|
||||
self.inner
|
||||
.set_curvature(curvature)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Get a vector by ID
|
||||
///
|
||||
/// @param id - Vector ID
|
||||
/// @returns Vector data or null if not found
|
||||
#[wasm_bindgen(js_name = getVector)]
|
||||
pub fn get_vector(&self, id: usize) -> Option<Vec<f32>> {
|
||||
self.inner.get_vector(id).map(|v| v.to_vec())
|
||||
}
|
||||
|
||||
/// Export index configuration as JSON
|
||||
#[wasm_bindgen(js_name = exportConfig)]
|
||||
pub fn export_config(&self) -> Result<JsValue, JsValue> {
|
||||
serde_wasm_bindgen::to_value(&self.inner.config)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Sharded Index
|
||||
// ============================================================================
|
||||
|
||||
/// Sharded Hyperbolic HNSW with per-shard curvature
|
||||
///
|
||||
/// @example
|
||||
/// ```javascript
|
||||
/// const manager = new ShardedIndex(1.0);
|
||||
/// manager.insertToShard("taxonomy", new Float32Array([0.1, 0.2]), 0);
|
||||
/// manager.insertToShard("taxonomy", new Float32Array([0.3, 0.1]), 3);
|
||||
/// manager.updateCurvature("taxonomy", 0.5);
|
||||
/// const results = manager.search(new Float32Array([0.2, 0.15]), 5);
|
||||
/// ```
|
||||
#[wasm_bindgen]
|
||||
pub struct ShardedIndex {
|
||||
inner: ShardedHyperbolicHnsw,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
impl ShardedIndex {
|
||||
/// Create a new sharded index
|
||||
///
|
||||
/// @param default_curvature - Default curvature for new shards
|
||||
#[wasm_bindgen(constructor)]
|
||||
pub fn new(default_curvature: f32) -> Self {
|
||||
Self {
|
||||
inner: ShardedHyperbolicHnsw::new(default_curvature),
|
||||
}
|
||||
}
|
||||
|
||||
/// Insert vector with automatic shard assignment
|
||||
///
|
||||
/// @param vector - Vector to insert (Float32Array)
|
||||
/// @param depth - Optional hierarchy depth for shard assignment
|
||||
/// @returns Global vector ID
|
||||
#[wasm_bindgen]
|
||||
pub fn insert(&mut self, vector: &[f32], depth: Option<usize>) -> Result<usize, JsValue> {
|
||||
self.inner
|
||||
.insert(vector.to_vec(), depth)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Insert vector into specific shard
|
||||
///
|
||||
/// @param shard_id - Target shard ID
|
||||
/// @param vector - Vector to insert (Float32Array)
|
||||
/// @returns Global vector ID
|
||||
#[wasm_bindgen(js_name = insertToShard)]
|
||||
pub fn insert_to_shard(&mut self, shard_id: &str, vector: &[f32]) -> Result<usize, JsValue> {
|
||||
self.inner
|
||||
.insert_to_shard(shard_id, vector.to_vec())
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Search across all shards
|
||||
///
|
||||
/// @param query - Query vector (Float32Array)
|
||||
/// @param k - Number of neighbors to return
|
||||
/// @returns Array of search results as JSON
|
||||
#[wasm_bindgen]
|
||||
pub fn search(&self, query: &[f32], k: usize) -> Result<JsValue, JsValue> {
|
||||
let results = self
|
||||
.inner
|
||||
.search(query, k)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
|
||||
let wasm_results: Vec<WasmSearchResult> = results
|
||||
.into_iter()
|
||||
.map(|(id, r)| WasmSearchResult::new(id, r.distance))
|
||||
.collect();
|
||||
|
||||
serde_wasm_bindgen::to_value(&wasm_results).map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Update curvature for a shard
|
||||
///
|
||||
/// @param shard_id - Shard ID
|
||||
/// @param curvature - New curvature value
|
||||
#[wasm_bindgen(js_name = updateCurvature)]
|
||||
pub fn update_curvature(&mut self, shard_id: &str, curvature: f32) -> Result<(), JsValue> {
|
||||
self.inner
|
||||
.update_curvature(shard_id, curvature)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Set canary curvature for A/B testing
|
||||
///
|
||||
/// @param shard_id - Shard ID
|
||||
/// @param curvature - Canary curvature value
|
||||
/// @param traffic - Percentage of traffic for canary (0-100)
|
||||
#[wasm_bindgen(js_name = setCanaryCurvature)]
|
||||
pub fn set_canary_curvature(&mut self, shard_id: &str, curvature: f32, traffic: u8) {
|
||||
self.inner.registry.set_canary(shard_id, curvature, traffic);
|
||||
}
|
||||
|
||||
/// Promote canary to production
|
||||
///
|
||||
/// @param shard_id - Shard ID
|
||||
#[wasm_bindgen(js_name = promoteCanary)]
|
||||
pub fn promote_canary(&mut self, shard_id: &str) -> Result<(), JsValue> {
|
||||
if let Some(shard_curv) = self.inner.registry.shards.get_mut(shard_id) {
|
||||
shard_curv.promote_canary();
|
||||
}
|
||||
self.inner
|
||||
.reload_curvatures()
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Rollback canary
|
||||
///
|
||||
/// @param shard_id - Shard ID
|
||||
#[wasm_bindgen(js_name = rollbackCanary)]
|
||||
pub fn rollback_canary(&mut self, shard_id: &str) {
|
||||
if let Some(shard_curv) = self.inner.registry.shards.get_mut(shard_id) {
|
||||
shard_curv.rollback_canary();
|
||||
}
|
||||
}
|
||||
|
||||
/// Build tangent caches for all shards
|
||||
#[wasm_bindgen(js_name = buildCaches)]
|
||||
pub fn build_caches(&mut self) -> Result<(), JsValue> {
|
||||
self.inner
|
||||
.build_caches()
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
|
||||
/// Get total vector count
|
||||
#[wasm_bindgen]
|
||||
pub fn len(&self) -> usize {
|
||||
self.inner.len()
|
||||
}
|
||||
|
||||
/// Check if empty
|
||||
#[wasm_bindgen(js_name = isEmpty)]
|
||||
pub fn is_empty(&self) -> bool {
|
||||
self.inner.is_empty()
|
||||
}
|
||||
|
||||
/// Get number of shards
|
||||
#[wasm_bindgen(js_name = numShards)]
|
||||
pub fn num_shards(&self) -> usize {
|
||||
self.inner.num_shards()
|
||||
}
|
||||
|
||||
/// Get curvature registry as JSON
|
||||
#[wasm_bindgen(js_name = getRegistry)]
|
||||
pub fn get_registry(&self) -> Result<JsValue, JsValue> {
|
||||
serde_wasm_bindgen::to_value(&self.inner.registry)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Tangent Cache Operations
|
||||
// ============================================================================
|
||||
|
||||
/// Tangent space cache for fast pruning
|
||||
#[wasm_bindgen]
|
||||
pub struct WasmTangentCache {
|
||||
inner: TangentCache,
|
||||
}
|
||||
|
||||
#[wasm_bindgen]
|
||||
impl WasmTangentCache {
|
||||
/// Create tangent cache from points
|
||||
///
|
||||
/// @param points - Flat array of points
|
||||
/// @param dim - Dimension of each point
|
||||
/// @param curvature - Curvature parameter
|
||||
#[wasm_bindgen(constructor)]
|
||||
pub fn new(points: &[f32], dim: usize, curvature: f32) -> Result<WasmTangentCache, JsValue> {
|
||||
let point_vecs: Vec<Vec<f32>> = points.chunks(dim).map(|c| c.to_vec()).collect();
|
||||
let indices: Vec<usize> = (0..point_vecs.len()).collect();
|
||||
|
||||
let cache = TangentCache::new(&point_vecs, &indices, curvature)
|
||||
.map_err(|e| JsValue::from_str(&e.to_string()))?;
|
||||
|
||||
Ok(Self { inner: cache })
|
||||
}
|
||||
|
||||
/// Get centroid of the cache
|
||||
#[wasm_bindgen]
|
||||
pub fn centroid(&self) -> Vec<f32> {
|
||||
self.inner.centroid.clone()
|
||||
}
|
||||
|
||||
/// Get tangent coordinates for a query
|
||||
///
|
||||
/// @param query - Query point (Float32Array)
|
||||
/// @returns Tangent coordinates (Float32Array)
|
||||
#[wasm_bindgen(js_name = queryTangent)]
|
||||
pub fn query_tangent(&self, query: &[f32]) -> Vec<f32> {
|
||||
self.inner.query_tangent(query)
|
||||
}
|
||||
|
||||
/// Compute tangent distance squared (for fast pruning)
|
||||
///
|
||||
/// @param query_tangent - Query in tangent space (Float32Array)
|
||||
/// @param idx - Index of cached point
|
||||
/// @returns Squared distance in tangent space
|
||||
#[wasm_bindgen(js_name = tangentDistanceSquared)]
|
||||
pub fn tangent_distance_squared(&self, query_tangent: &[f32], idx: usize) -> f32 {
|
||||
self.inner.tangent_distance_squared(query_tangent, idx)
|
||||
}
|
||||
|
||||
/// Get number of cached points
|
||||
#[wasm_bindgen]
|
||||
pub fn len(&self) -> usize {
|
||||
self.inner.len()
|
||||
}
|
||||
|
||||
/// Get dimension
|
||||
#[wasm_bindgen]
|
||||
pub fn dim(&self) -> usize {
|
||||
self.inner.dim()
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Utility Functions
|
||||
// ============================================================================
|
||||
|
||||
/// Get library version
|
||||
#[wasm_bindgen(js_name = getVersion)]
|
||||
pub fn get_version() -> String {
|
||||
ruvector_hyperbolic_hnsw::VERSION.to_string()
|
||||
}
|
||||
|
||||
/// Get default curvature value
|
||||
#[wasm_bindgen(js_name = getDefaultCurvature)]
|
||||
pub fn get_default_curvature() -> f32 {
|
||||
DEFAULT_CURVATURE
|
||||
}
|
||||
|
||||
/// Get numerical stability epsilon
|
||||
#[wasm_bindgen(js_name = getEps)]
|
||||
pub fn get_eps() -> f32 {
|
||||
EPS
|
||||
}
|
||||
|
||||
/// Compute vector norm
|
||||
#[wasm_bindgen(js_name = vectorNorm)]
|
||||
pub fn vector_norm(x: &[f32]) -> f32 {
|
||||
ruvector_hyperbolic_hnsw::norm(x)
|
||||
}
|
||||
|
||||
/// Compute squared vector norm
|
||||
#[wasm_bindgen(js_name = vectorNormSquared)]
|
||||
pub fn vector_norm_squared(x: &[f32]) -> f32 {
|
||||
ruvector_hyperbolic_hnsw::norm_squared(x)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use wasm_bindgen_test::*;
|
||||
|
||||
#[wasm_bindgen_test]
|
||||
fn test_poincare_distance() {
|
||||
let u = vec![0.3, 0.2];
|
||||
let v = vec![-0.1, 0.4];
|
||||
let d = wasm_poincare_distance(&u, &v, 1.0);
|
||||
assert!(d > 0.0);
|
||||
}
|
||||
|
||||
#[wasm_bindgen_test]
|
||||
fn test_mobius_add() {
|
||||
let x = vec![0.2, 0.1];
|
||||
let y = vec![0.1, -0.1];
|
||||
let z = wasm_mobius_add(&x, &y, 1.0);
|
||||
assert_eq!(z.len(), 2);
|
||||
}
|
||||
|
||||
#[wasm_bindgen_test]
|
||||
fn test_hyperbolic_index() {
|
||||
let mut index = HyperbolicIndex::new(Some(16), Some(1.0));
|
||||
|
||||
index.insert(&[0.1, 0.2, 0.3]).unwrap();
|
||||
index.insert(&[-0.1, 0.15, 0.25]).unwrap();
|
||||
index.insert(&[0.2, -0.1, 0.1]).unwrap();
|
||||
|
||||
assert_eq!(index.len(), 3);
|
||||
assert!(!index.is_empty());
|
||||
assert_eq!(index.dim(), Some(3));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user