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- 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 |
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| .. | ||
| keyword_extractor.go | ||
| language_detector.go | ||
| lemmatizer.go | ||
| phonetic_encoder.go | ||
| poetic_analyzer.go | ||
| pos_tagger.go | ||
| registry.go | ||
| tokenizer.go | ||