feat(#2): Implement PostgreSQL 17 + pgvector database schema
Establishes multi-tenant database layer with vector similarity search for AI-powered memory features. Includes Docker infrastructure, Prisma ORM integration, NestJS services, and shared types across the monorepo. Key changes: - Docker: PostgreSQL 17 + pgvector v0.7.4, Valkey cache - Schema: 8 models (User, Workspace, Task, Event, Project, ActivityLog, MemoryEmbedding) with RLS preparation - NestJS: PrismaModule, DatabaseModule, EmbeddingsService - Shared: Type-safe enums, constants, and database types Fixes #2 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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.env.example
12
.env.example
@@ -5,8 +5,16 @@ API_HOST=0.0.0.0
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# Web Configuration
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NEXT_PUBLIC_API_URL=http://localhost:3001
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# Database (configured in later milestone)
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# DATABASE_URL=postgresql://user:password@localhost:5432/mosaic
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# Database
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DATABASE_URL=postgresql://mosaic:mosaic_dev_password@localhost:5432/mosaic
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POSTGRES_USER=mosaic
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POSTGRES_PASSWORD=mosaic_dev_password
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POSTGRES_DB=mosaic
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POSTGRES_PORT=5432
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# Valkey (Redis-compatible cache)
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VALKEY_URL=redis://localhost:6379
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VALKEY_PORT=6379
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# Authentication (configured in later milestone)
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# OIDC_ISSUER=https://auth.example.com
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