opensearch-project/k-NN
Apr 2025 – Apr 2025
1 Month active
Languages Used
GroovyJava
Technical Skills
API DesignBackend DevelopmentDistributed SystemsSearch Technology
Neetika Singhal
PROFILE
Neetika Singhal
During April 2025, contributed to the opensearch-project/k-NN repository by designing and implementing the Explain API for KNN Search. This feature provides detailed transparency into how Exact, ANN, Radial, and Disk-based search results are computed, clarifying the underlying scoring mechanisms and search strategies within the KNN plugin. The work focused on enhancing auditability and user trust by exposing internal computation details through the API and updated documentation. Development was carried out using Java and Groovy, leveraging expertise in API design, backend development, and distributed systems to align with repository standards and improve overall code quality without addressing major bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,847
Activity Months1
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for opensearch-project/k-NN: Delivered the Explain API for KNN Search, enabling transparent visibility into how Exact, ANN, Radial, and Disk-based searches are computed, including the scoring mechanisms and search strategies used by the KNN plugin. This enhancement improves auditability, debugging, and user trust in KNN results. No major bugs fixed this month; focus was on feature delivery and code quality improvements across the KNN repository.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for opensearch-project/k-NN: Delivered the Explain API for KNN Search, enabling transparent visibility into how Exact, ANN, Radial, and Disk-based searches are computed, including the scoring mechanisms and search strategies used by the KNN plugin. This enhancement improves auditability, debugging, and user trust in KNN results. No major bugs fixed this month; focus was on feature delivery and code quality improvements across the KNN repository.
April 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GroovyJava
Technical Skills
API DesignBackend DevelopmentDistributed SystemsSearch Technology
Repositories Contributed To
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