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.
npx skills add majiayu000/claude-skill-registry --skill hybrid-search-implementation-ccf-claude-code-ccf-mark --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Hybrid Search Implementation Patterns for combining vector similarity and keyword-based search. ## When to Use This Skill - 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 ## Core Concepts ### 1. Hybrid Search Architecture ``` Query → ┬─► Vector Search ──► Candidates ─┐ │ │ └─► Keyword Search ─► Candidates ─┴─► Fusion ─► Results ``` ### 2. Fusion Methods | Method | Description | Best For | | ----------------- | ------------------------ | --------------- | | **RRF** | Reciprocal Rank Fusion | General purpose | | **Linear** | Weighted sum of scores | Tunable balance | | **Cross-encoder** | Rerank with neural model | Highest quality | | **Cascade** | Filter then rerank | Efficiency | ## Templates ### Template 1: Reciprocal Rank Fusion ```python from typing import List, Dict, Tuple from collections import defaultdict def reciprocal_rank_fusion( result_lists: List[List[Tuple[str, float]]], k: int = 60, weights: List[float] = None ) -> List[Tuple[str, float]]: """ Combine multiple ranked
- When to Use This Skill
- Core Concepts
- 1. Hybrid Search Architecture
- 2. Fusion Methods
- Templates
- Template 1: Reciprocal Rank Fusion
- Template 2: PostgreSQL Hybrid Search
- Template 3: Elasticsearch Hybrid Search
- Template 4: Custom Hybrid RAG Pipeline
- Best Practices
- Do's
- Don'ts
- Resources
What does the hybrid-search-implementation skill do?
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill hybrid-search-implementation-ccf-claude-code-ccf-mark --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.