July 2025 Monthly Summary – opensearch-project/dashboards-search-relevance: Delivered URL-based configuration sharing for Search Relevance Query Compare by enabling auto-population of fields via URL parameters, implementing URL parsing, and updating the URL on searches, accompanied by comprehensive unit tests. This work improves reproducibility and shareability of comparison configurations, accelerating collaboration and decision making. No major bugs fixed this month. Technologies demonstrated include URL state management, parameter parsing, unit testing, and plugin development in the Dashboards environment (commit 98023a71769156d10a35263cf4c919e1e9d27fd4).

March 2025 monthly summary focusing on delivering cross-repo filtering capabilities across the OpenSearch, k-NN, and neural-search stacks. The initiatives standardized how filters are applied within query building, enabling more precise results and setting the stage for advanced analytics and user-facing search capabilities.