task-search

Search-as-you-type for a frontend task list is handled using debounced input that updates results after 300ms, applying multi-token AND logic across titles, descriptions, and tags. This limits results to 50 items to maintain performance on large collections.

Ranking frontend search results across multiple fields is achieved using cross-field relevance scoring. The search applies case-insensitive matching to titles, descriptions, and tags, prioritizing results based on multi-token AND logic.

Debounced search input improves task discovery performance by delaying the search execution for 300ms after the user stops typing. This prevents excessive processing on every keystroke, allowing real-time highlighting and ranked results to render efficiently.

You can highlight matched search terms in real-time as you type. The search applies text highlighting to the case-insensitive matches found within the task titles, descriptions, and tags for quick visual scanning of results.

Searching large task collections on the frontend has a limitation of returning only the top 50 ranked results. This result limiting ensures performance remains fast during search-as-you-type operations with debounced input.