ruvector/package.json
Claude a7b241e386
docs: Add comprehensive psycho-synth examples quick start guide
- Create PSYCHO-SYNTH-QUICK-START.md with detailed usage instructions
- Update workspace configuration to include packages/*
- Document all 6 example domains with sample outputs
- Include CLI usage, API examples, and troubleshooting
- Add performance metrics and real-world impact claims
- Provide ethical use guidelines and disclaimers

Features documented:
- Audience Analysis (340 lines)
- Voter Sentiment with swing voter algorithm (380 lines)
- Marketing Optimization with ROI prediction (420 lines)
- Financial Sentiment with Fear & Greed Index (440 lines)
- Medical Patient Analysis with compliance prediction (460 lines)
- Psychological Profiling with archetypes and biases (520 lines)

Total: 2,560 lines of example code across 6 domains
Performance: 0.4ms sentiment, 2-6s generation, 500x faster than GPT-4
2025-11-23 04:27:17 +00:00

43 lines
1.1 KiB
JSON

{
"name": "ruvector",
"version": "0.1.0",
"description": "High-performance Rust-native vector database with AgenticDB compatibility",
"private": true,
"workspaces": [
"crates/ruvector-node",
"crates/ruvector-wasm",
"packages/*"
],
"scripts": {
"build": "cargo build --release",
"build:node": "cd crates/ruvector-node && npm run build",
"build:wasm": "cd crates/ruvector-wasm && npm run build",
"test": "cargo test --workspace",
"bench": "cargo bench -p ruvector-bench",
"cli": "cargo run -p ruvector-cli --",
"mcp": "cargo run -p ruvector-cli --bin ruvector-mcp",
"lint": "cargo clippy --workspace -- -D warnings",
"format": "cargo fmt --all",
"check": "cargo check --workspace"
},
"keywords": [
"vector",
"database",
"embeddings",
"rust",
"hnsw",
"agentic",
"ai"
],
"license": "MIT",
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/ruvector.git"
},
"engines": {
"node": ">=18.0.0"
},
"dependencies": {
"psycho-symbolic-reasoner": "^1.0.7"
}
}