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Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
hybrid-search-implementation is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Hybrid Search Implementation Patterns for combining vector similarity and keyword-based search. ## Use this skill when - Building RAG systems with improved re. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding hybrid-search-implementation to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install Satya136-dvsn/dev-toolsReview the upstream source before running this command.
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Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Hybrid Search Implementation Patterns for combining vector similarity and keyword-based search. ## Use this skill when - Building RAG systems with improved recall - Combining sem