Agent skill · research science · aiskillstore
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.
Why this skill is useful
Provides domain-specific patterns for combining vector and keyword search that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Hybrid Search Implementation 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. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/hybrid-search-implementation