Awesome-omni-skill similarity-search-patterns

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

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

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/backend/similarity-search-patterns" ~/.claude/skills/diegosouzapw-awesome-omni-skill-similarity-search-patterns && rm -rf "$T"

manifest: skills/backend/similarity-search-patterns/SKILL.md

source content

Similarity Search Patterns

Patterns for implementing efficient similarity search in production systems.

Use this skill when

Building semantic search systems
Implementing RAG retrieval
Creating recommendation engines
Optimizing search latency
Scaling to millions of vectors
Combining semantic and keyword search

Do not use this skill when

The task is unrelated to similarity search patterns
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.