Rei-skills 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.

install

source · Clone the upstream repo

git clone https://github.com/rootcastleco/rei-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/rootcastleco/rei-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/hybrid-search-implementation" ~/.claude/skills/rootcastleco-rei-skills-hybrid-search-implementation && rm -rf "$T"

manifest: skills/hybrid-search-implementation/SKILL.md

source content

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.

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