ruvector/crates/ruvector-node/package.json
rUv 1cc09933eb feat: Implement GNN forgetting mitigation (#17)
This commit addresses GitHub issue #17 by implementing comprehensive
forgetting mitigation for continual learning in the GNN module.

## New Features

### Optimizer Implementation (training.rs)
- Full Adam optimizer with bias-corrected first and second moments
- SGD with momentum support
- Lazy initialization of state buffers for efficiency

### Replay Buffer (replay.rs)
- Experience replay with reservoir sampling for uniform distribution
- Distribution shift detection with statistical tracking
- Configurable capacity and batch sampling

### Elastic Weight Consolidation (ewc.rs)
- Fisher information diagonal computation
- Anchor weight consolidation for task boundaries
- EWC penalty and gradient computation

### Learning Rate Scheduling (scheduler.rs)
- Constant, StepDecay, Exponential schedulers
- CosineAnnealing with warm restarts
- WarmupLinear for pre-training warmup
- ReduceOnPlateau for adaptive learning

## Deployment Infrastructure

### GitHub Actions Release Pipeline (.github/workflows/release.yml)
- 8-stage CI/CD pipeline for complete releases
- Validates, builds crates, WASM, and native modules
- Publishes to crates.io and npmjs.com
- Creates GitHub releases with artifacts

### Deployment Script (scripts/deploy.sh)
- Comprehensive deployment orchestration
- Version synchronization across Cargo.toml and package.json
- Dry-run mode for testing
- Cross-platform native builds support

## Test Coverage
- 177 tests passing in ruvector-gnn
- Comprehensive tests for all new modules
- Convergence tests for optimizers

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 23:17:07 +00:00

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{
"name": "@ruvector/node",
"version": "0.1.2",
"description": "High-performance Rust vector database for Node.js with HNSW indexing and SIMD optimizations",
"main": "index.js",
"types": "index.d.ts",
"type": "module",
"napi": {
"name": "ruvector",
"triples": {
"defaults": true,
"additional": [
"aarch64-apple-darwin",
"aarch64-unknown-linux-gnu",
"aarch64-unknown-linux-musl",
"aarch64-pc-windows-msvc",
"x86_64-unknown-linux-musl"
]
}
},
"engines": {
"node": ">= 18"
},
"scripts": {
"artifacts": "napi artifacts",
"build": "napi build --platform --release",
"build:debug": "napi build --platform",
"prepublishOnly": "napi prepublish -t npm",
"test": "ava",
"test:watch": "ava --watch",
"bench": "ava tests/benchmark.test.mjs",
"example:simple": "node examples/simple.mjs",
"example:advanced": "node examples/advanced.mjs",
"example:semantic": "node examples/semantic-search.mjs",
"version": "napi version",
"clean": "rm -rf *.node index.js index.d.ts npm"
},
"devDependencies": {
"@napi-rs/cli": "^2.18.0",
"ava": "^6.0.0"
},
"ava": {
"files": [
"tests/**/*.test.mjs"
],
"timeout": "2m",
"concurrency": 5,
"environmentVariables": {
"NODE_ENV": "test"
}
},
"files": [
"index.js",
"index.d.ts",
"README.md",
"LICENSE"
],
"keywords": [
"vector",
"database",
"embeddings",
"similarity-search",
"hnsw",
"rust",
"napi",
"semantic-search",
"machine-learning",
"rag",
"simd",
"performance"
],
"license": "MIT",
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/ruvector.git",
"directory": "crates/ruvector-node"
},
"homepage": "https://github.com/ruvnet/ruvector#readme",
"bugs": {
"url": "https://github.com/ruvnet/ruvector/issues"
}
}