Building production GenAI systems? Structure matters.
𝐇𝐞𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞:
1. config/: Project configuration files:
• model_config.yaml: Model settings and API keys
• logging_config.yaml: Logging configuration
2. data/: Stores all project data:
• cache/: Cached and processed data
• embeddings/: Vector embeddings
• vectordb/: Vector database files
3. src/: Main application code:
core/: LLM abstraction and integrations:
• base_llm.py: Common interface for all LLMs
• gpt_client.py: OpenAI GPT client
• claude_client.py: Anthropic Claude client
• local_llm.py: Local/self-hosted models
• model_factory.py: Model selection factory
prompts/: Prompt design utilities:
• templates.py: Prompt templates
• chain.py: Multi-step prompt chaining
rag/: Retrieval-Augmented Generation module:
• embedder.py: Embedding creation
• retriever.py: Document search
• vector_store.py: Vector DB wrapper
• indexer.py: Document indexing
processing/: Data preparation pipeline:
• chunking.py: Text splitting
• tokenizer.py: Tokenization utilities
• preprocessor.py: Data cleaning
inference/: Model execution flow:
• inference_engine.py: Inference engine
• response_parser.py: Output formatting
4. tests/: Testing modules:
unit/: Function-level tests:
• test_llm_clients.py: Tests LLM clients
• test_prompts.py: Tests prompts
integration/: End-to-end tests:
• test_end_to_end.py: End-to-end LLM client tests
• test_api_integration.py: API integration tests
5. scripts/: Automation scripts for common tasks:
• setup_env.sh: Environment setup
• run_tests.sh: Test execution
• build_embeddings.py: Embedding generation
• cleanup.py: Cleanup tasks
6. Configuration Files:
• .gitignore: Git exclusions
• Dockerfile: Container configuration
• docker-compose.yml: Multi-service setup
• requirements.txt: Dependencies
𝐓𝐇𝐄 𝐏𝐑𝐈𝐍𝐂𝐈𝐏𝐋𝐄
GenAI project structure should enable:
• Modularity (swap components easily)
• Testability (unit + integration)
• Scalability (add features without refactoring)
• Maintainability (clear organization)
Structure determines how fast you can iterate, not just how organized your code looks.
