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package.json
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{
"name": "mini_rag",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev --turbopack",
"build": "next build",
"start": "next start",
"lint": "next lint",
"test": "jest",
"test:chunking": "jest chunking",
"test:selector": "jest selector",
"estimate-costs": "npx ts-node app/scripts/estimate-training-cost.ts",
"train": "npx ts-node app/scripts/upload-training-data.ts",
"scrape-content": "curl http://localhost:3000/api/scrape-content",
"process-csv": "npx ts-node app/scripts/processCsvAndVectorize.ts",
"upload-vectors": "npx ts-node app/scripts/upload-vectors.ts",
"prepare": "husky",
"exercise:vectors": "npx ts-node app/scripts/exercises/vector-similarity.ts",
"exercise:vectors:test": "npx ts-node app/scripts/exercises/vector-similarity-test.ts",
"exercise:word-math": "npx ts-node app/scripts/exercises/vector-word-arithmetic.ts",
"convert-curriculum": "node scripts/convert-md-to-kajabi-html.mjs"
},
"lint-staged": {
"*.{js,jsx,ts,tsx}": [
"eslint --fix"
]
},
"dependencies": {
"@ai-sdk/openai": "^2.0.19",
"@ai-sdk/react": "^2.0.22",
"@pinecone-database/pinecone": "6.1.0",
"@tailwindcss/postcss": "^4.1.10",
"@types/cheerio": "1.0.0",
"@types/node-fetch": "3.0.2",
"ai": "^5.0.22",
"axios": "^1.10.0",
"cheerio": "^1.1.0",
"csv-parser": "^3.2.0",
"dot-env": "^0.0.1",
"dotenv": "^16.5.0",
"fs": "0.0.1-security",
"husky": "^9.1.7",
"js-tiktoken": "^1.0.19",
"lucide-react": "^0.514.0",
"marked": "^17.0.1",
"next": "15.1.6",
"node-fetch": "^3.3.2",
"openai": "5.15.0",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-markdown": "^10.1.0",
"zod": "^3.24.2"
},
"devDependencies": {
"@eslint/eslintrc": "^3",
"@types/jest": "30.0.0",
"@types/node": "24.0.0",
"@types/react": "^19",
"@types/react-dom": "^19",
"autoprefixer": "^10.4.21",
"eslint": "^9",
"eslint-config-next": "15.1.6",
"jest": "30.0.0",
"jest-environment-jsdom": "30.0.0",
"lint-staged": "^16.0.0",
"postcss": "^8",
"tailwindcss": "^4.1.10",
"ts-jest": "^29.1.2",
"ts-node": "^10.9.2",
"typescript": "^5.8.3"
},
"packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e"
}