mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-06-01 14:39:33 +00:00
2e4eafead0
Major additions: - ruvector-gnn: Complete GNN implementation with RuvectorLayer, multi-head attention, GRU cell - Tensor compression: 5-tier adaptive compression (f32→f16→PQ8→PQ4→Binary, 2-32x) - Differentiable search: Soft attention k-NN with gradient flow - Training: InfoNCE contrastive loss, SGD optimizer - Query API: RuvectorQuery, QueryResult, SubGraph types - MmapManager: Memory-mapped embeddings with gradient accumulation - Tensor operations: Full tensor math library Bindings: - ruvector-gnn-wasm: Full WASM bindings for browser - ruvector-gnn-node: napi-rs bindings for Node.js Fixes: - WASM compatibility for ruvector-graph (conditional compilation) - Feature flags for storage/hnsw modules Updated README with GNN architecture overview and tutorials
53 lines
1.2 KiB
JSON
53 lines
1.2 KiB
JSON
{
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"name": "@ruvector/gnn",
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"version": "0.1.1",
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"description": "Graph Neural Network capabilities for Ruvector - Node.js bindings",
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"main": "index.js",
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"types": "index.d.ts",
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"napi": {
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"name": "ruvector-gnn",
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"triples": {
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"defaults": true,
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"additional": [
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"x86_64-unknown-linux-musl",
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"aarch64-unknown-linux-gnu",
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"aarch64-unknown-linux-musl",
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"aarch64-apple-darwin",
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"x86_64-pc-windows-msvc"
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]
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}
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},
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"scripts": {
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"artifacts": "napi artifacts",
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"build": "napi build --platform --release",
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"build:debug": "napi build --platform",
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"prepublishOnly": "napi prepublish -t npm",
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"test": "node --test test/*.test.js",
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"version": "napi version"
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},
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"keywords": [
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"ruvector",
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"gnn",
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"graph-neural-network",
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"machine-learning",
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"vector-database",
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"hnsw",
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"napi-rs"
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],
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"author": "Ruvector Team",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector"
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},
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"devDependencies": {
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"@napi-rs/cli": "^2.16.0"
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},
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"engines": {
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"node": ">= 10"
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},
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"publishConfig": {
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"registry": "https://registry.npmjs.org/",
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"access": "public"
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}
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}
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