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Get Started Free →Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | -46% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -43% | 0% |
| case-04 | ✓→✓ | = Same ✓ | -15% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 29% | 0% |
Patterns for implementing efficient similarity search in production systems.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.Other measured skills in the registry, with their headline benchmark lift.