mirror of
https://github.com/ruvnet/RuVector.git
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- Initialize complete Rust workspace with 5 crates - Implement SIMD-optimized distance metrics (SimSIMD) - Add storage layer with redb + memory-mapped vectors - Implement quantization (Scalar, Product, Binary) - Create HNSW and Flat index structures - Build main VectorDB API with comprehensive tests - Set up claude-flow orchestration system - Configure NAPI-RS and WASM bindings infrastructure - Add benchmarking suite with criterion - 14/16 tests passing (87.5%) Technical highlights: - Zero-copy memory access via memmap2 - Lock-free concurrent operations with dashmap - Type-safe error handling with thiserror - Full workspace configuration with profiles Next phases: HNSW integration, AgenticDB API compatibility, multi-platform deployment, advanced techniques.
39 lines
1,007 B
JSON
39 lines
1,007 B
JSON
{
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"name": "ruvector",
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"version": "0.1.0",
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"description": "High-performance Rust-native vector database with AgenticDB compatibility",
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"private": true,
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"workspaces": [
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"crates/ruvector-node",
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"crates/ruvector-wasm"
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],
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"scripts": {
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"build": "cargo build --release",
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"build:node": "cd crates/ruvector-node && npm run build",
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"build:wasm": "cd crates/ruvector-wasm && npm run build",
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"test": "cargo test --workspace",
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"bench": "cargo bench -p ruvector-bench",
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"cli": "cargo run -p ruvector-cli --",
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"mcp": "cargo run -p ruvector-cli --bin ruvector-mcp",
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"lint": "cargo clippy --workspace -- -D warnings",
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"format": "cargo fmt --all",
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"check": "cargo check --workspace"
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},
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"keywords": [
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"vector",
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"database",
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"embeddings",
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"rust",
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"hnsw",
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"agentic",
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"ai"
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],
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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.git"
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},
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"engines": {
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"node": ">=18.0.0"
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}
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}
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