Add comprehensive tests for vector/semantic search functionality

- Implement full coverage tests for Embedder model loading and embedding generation
- Add CRUD operations and caching tests for VectorStore
- Include cosine similarity computation tests
- Validate semantic search accuracy and relevance through various queries
- Establish performance benchmarks for embedding and search operations
- Ensure edge cases and error handling are covered
- Test thread safety and concurrent access scenarios
- Verify availability of semantic search dependencies
This commit is contained in:
catlog22
2025-12-14 17:17:09 +08:00
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# Project Integration Rules
## Learning the Codebase
- Find 3 similar features/components
- Identify common patterns and conventions
- Use same libraries/utilities when possible
- Follow existing test patterns
## Tooling
- Use project's existing build system
- Use project's test framework
- Use project's formatter/linter settings
- Don't introduce new tools without strong justification
## Content Uniqueness Rules
- **Each layer owns its abstraction level** - no content sharing between layers
- **Reference, don't duplicate** - point to other layers, never copy content
- **Maintain perspective** - each layer sees the system at its appropriate scale
- **Avoid implementation creep** - higher layers stay architectural