autocomplete-engine

Solid

Search autocomplete and type-ahead suggestion optimization for knowledge bases

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# Autocomplete Engine Skill ## Overview The Autocomplete Engine skill provides specialized capabilities for configuring, optimizing, and maintaining search autocomplete and type-ahead suggestion systems within knowledge management platforms. This skill enables intelligent, responsive search suggestions that improve user experience and reduce time-to-knowledge. ## Capabilities ### Suggestion Index Configuration - Design and configure suggestion index structures - Set up index mappings for autocomplete data - Configure index refresh and update strategies - Implement index sharding for performance ### Query Log Analysis - Analyze search query logs for suggestion mining - Identify popular and trending queries - Detect query patterns and variations - Extract actionable insights from search behavior ### Popular Query Mining - Extract frequently searched terms and phrases - Identify emerging search trends - Build suggestion pools from historical data - Prioritize suggestions based on usage patterns ### Personalized Suggestions - Implement user-based personalization - Configure role-based suggestion filtering - Design context-aware suggestion systems - Enable recent search integration ### Category-aware Suggestions - Configure category facets in suggestions - Implement content-type filtering - Design hierarchical suggestion structures - Enable scoped search suggestions ### Typo Tolerance Configuration - Configure fuzzy matching algorithms - Set up Levenshtein distance thresh...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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