- Create VectorService with ChromaDB persistence and Google embeddings
- Add semantic search functionality with similarity scoring
- Implement externalized prompt system with text file storage
- Add prompt loader with caching for better performance
- Structure prompts for interviewer, segmentation, and linking agents
- Define SQLModel schemas for Session, Note, and Link entities
- Add API request/response models for RPC endpoints
- Create LLM structured output models for Zettel extraction
- Set up async database initialization with SQLModel and aiosqlite
- Implement repository pattern for CRUD operations
- Add complete test suite with pytest configuration
- Create validation test runner for development workflow
- Add .gitignore for Python/FastAPI project security
