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hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
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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.
Adding it takes about 30 seconds
1
Click Get this skill. Grab the .md file, one click, no account needed.
2
Add it to Claude. Drop it into ~/.claude/skills/. Claude picks it up the next time you open a session.
3
Ask normally. Type your question. The skill triggers on the right keywords — you don't have to remember anything.
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SKILL FILEWhat Claude actually reads
Patterns for combining vector similarity and keyword-based search. ## Use this skill when - Building RAG systems with improved recall - Combining semantic understanding with exact matching - Handling queries with specific terms (names, codes) - Improving search for domain-specific vocabulary - When pure vector search misses keyword matches ## Do not use this skill when - The task is unrelated to hybrid search implementation - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples.