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
Neetika Singhal developed the Explain API for KNN Search in the opensearch-project/k-NN repository, focusing on enhancing transparency and auditability for search results. She designed and implemented this feature using Java and Groovy, leveraging her expertise in API design, backend development, and distributed systems. The Explain API provides detailed insights into how Exact, ANN, Radial, and Disk-based searches are computed, clarifying the scoring mechanisms and search strategies within the KNN plugin. By aligning the integration with repository standards and updating documentation, Neetika improved code quality and user trust, addressing the need for greater visibility into search technology operations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,847
Activity Months1
Your Network
39 peopleWork 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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