- Core Go application with GraphQL API using gqlgen
- Comprehensive data models for literary works, authors, translations
- Repository pattern with caching layer
- Authentication and authorization system
- Linguistics analysis capabilities with multiple adapters
- Vector search integration with Weaviate
- Docker containerization support
- Python data migration and analysis scripts
- Clean architecture with proper separation of concerns
- Production-ready configuration and middleware
- Proper .gitignore excluding vendor/, database files, and build artifacts
