c2b47e7645
- Add document ingestion with text chunking, embedding generation, and PostgreSQL persistence - Configure PostgreSQL with pgvector, document schemas, and database migrations - Implement semantic search using Ollama embeddings and pgvector cosine similarity - Add POST /documents, POST /search, and POST /ask endpoints with validation and sanitized error handling - Generate context-grounded answers with source attribution - Filter retrieved chunks using a minimum similarity threshold of 0.5 and return fallback responses when no relevant context is available - Add unit and integration tests for ingestion, search, question answering, validation, and failure handling - Update README with Phase 3 capabilities, setup instructions, and API documentation
28 lines
659 B
JSON
28 lines
659 B
JSON
{
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"name": "local-ai-platform",
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"version": "1.0.0",
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"description": "",
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"main": "index.js",
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"scripts": {
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"test": "tsx --test src/**/*.test.ts",
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"dev": "node --env-file=.env --import tsx/esm --watch src/server.ts",
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"build": "tsc -p tsconfig.json",
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"start": "node --env-file=.env dist/server.js"
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},
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"keywords": [],
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"author": "",
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"license": "ISC",
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"type": "module",
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"dependencies": {
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"fastify": "^5.12.7",
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"node-pg-migrate": "^9.0.0",
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"pg": "^8.23.1",
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"zod": "^4.6.7"
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},
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"devDependencies": {
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"@types/node": "^26.6.5",
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"@types/pg": "^8.23.1",
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"tsx": "^4.23.15",
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"typescript": "^7.0.2"
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}
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}
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