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Summary

  • add a MathNet-driven helper to rank vector documents by distance or similarity for deterministic expectations
  • extend vector index search tests to validate MathNet alignment for multiple limits
  • add coverage that compares WhereNear and TopKNear query outputs against the underlying vector service results while increasing the pruning scenario workload

Testing

  • dotnet test LiteDB.sln --settings tests.runsettings

https://chatgpt.com/codex/tasks/task_e_68d340bf3530832aa9a41ee4707e7312

@JKamsker JKamsker merged commit fa69b08 into codex/add-indexeddocumentchunk-model-and-chunk-processing Sep 24, 2025
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@JKamsker JKamsker deleted the codex/add-unit-tests-for-vector-search-feature branch September 24, 2025 07:34
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