ruvector/npm/packages/core/package.json
rUv 73180b9e46 chore: Publish ruvector-core@0.1.3 with platform packages v0.1.2
Updated ruvector-core to reference newly published platform packages
with database connection pooling.

Changes:
- Version: 0.1.2 → 0.1.3
- optionalDependencies updated to 0.1.2 for:
  - ruvector-core-linux-x64-gnu
  - ruvector-core-linux-arm64-gnu
  - ruvector-core-darwin-x64
  - ruvector-core-darwin-arm64
- win32-x64-msvc remains at 0.1.1 (build pending)

Published to npm: ruvector-core@0.1.3

Users installing ruvector-core@0.1.3 will now automatically
get platform packages with database pooling, fixing the
"Database already open. Cannot acquire lock" error.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-21 22:16:29 +00:00

68 lines
1.6 KiB
JSON

{
"name": "ruvector-core",
"version": "0.1.3",
"description": "High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications",
"main": "index.js",
"types": "index.d.ts",
"author": "ruv.io Team <info@ruv.io> (https://ruv.io)",
"homepage": "https://ruv.io",
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/ruvector.git",
"directory": "npm/packages/core"
},
"bugs": {
"url": "https://github.com/ruvnet/ruvector/issues"
},
"license": "MIT",
"engines": {
"node": ">=18.0.0"
},
"files": [
"index.js",
"index.d.ts",
"README.md"
],
"scripts": {
"build:napi": "napi build --platform --release --cargo-cwd ../../../crates/ruvector-node",
"test": "node test.js",
"publish:platforms": "node scripts/publish-platforms.js"
},
"devDependencies": {
"@napi-rs/cli": "^2.18.0"
},
"optionalDependencies": {
"ruvector-core-linux-x64-gnu": "0.1.2",
"ruvector-core-linux-arm64-gnu": "0.1.2",
"ruvector-core-darwin-x64": "0.1.2",
"ruvector-core-darwin-arm64": "0.1.2",
"ruvector-core-win32-x64-msvc": "0.1.1"
},
"publishConfig": {
"access": "public"
},
"keywords": [
"vector-database",
"vector-search",
"similarity-search",
"semantic-search",
"hnsw",
"ann",
"approximate-nearest-neighbor",
"embedding-database",
"ai",
"machine-learning",
"ml",
"llm",
"rag",
"retrieval-augmented-generation",
"native",
"napi",
"rust",
"simd",
"fast",
"performance",
"ruv",
"ruvector"
]
}