Epic 6 - Benchmarking and Evaluation

[rmax]

Parent

• Parent issue: Milestone 1 - Shardlake Post-Prototype Roadmap #5

Goal

Build systematic measurement tools for performance and quality.

Detailed tasks

• 6.1 Benchmark dataset generator
  • Generate synthetic vectors with configurable:
    • dimension
    • cluster structure
    • dataset size
• 6.2 Benchmark harness
  • Add the CLI command shardlake benchmark.
  • Report:
    • latency
    • throughput
    • recall
• 6.3 Workload simulation
  • Simulate:
    • cold queries
    • warm cache queries
    • mixed workloads
• 6.4 Cost estimation
  • Estimate:
    • memory usage
    • disk footprint
    • vector compression ratio

Definition of done

• Benchmark datasets can be generated reproducibly.
• Benchmark runs capture both performance and quality metrics.
• Workload and cost trade-offs can be compared across configurations.