Search Engine Expert (2026 Edition)
SkillSearchExpert guide for full-text search engines (Typesense, Meilisearch, Elasticsearch), faceted search, and autocomplete / Panduan ahli mesin pencarian full-text (Typesense, Meilisearch, Elasticsearch), pencarian berfaset, dan autocomplete.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Search Engine Expert (2026 Edition) skill
What this skill tells your AI
The instructions your AI receives, as published by roedyrustam/vibes-plug in skills/search-engine-expert/SKILL.md and read by ahel’s review.
English | Bahasa Indonesia
English
Orchestration & Integration
database-orm-expert: Database indexing strategies alongside search.vector-db-rag-expert: Hybrid search (semantic + full-text).performance-web-vitals: Search latency optimization.ecommerce-expert: Product search and faceted navigation.
Description
Expert guide for implementing full-text search in web applications. Covers Typesense (typo-tolerant, easy setup), Meilisearch (Rust-based, instant search), Elasticsearch/OpenSearch (enterprise-grade), faceted search, autocomplete, search-as-you-type, relevance tuning, index optimization, and geo-search.
Trigger Conditions
- Implementing search functionality beyond basic SQL LIKE queries.
- Building autocomplete or search-as-you-type features.
- Choosing a search engine for an application.
- Implementing faceted search for e-commerce product filtering.
Search Engine Selection
| Engine | Speed | Setup | Typo Tolerance | Facets | Best For |
|---|---|---|---|---|---|
| Typesense | ★★★★★ | Easy | ✅ Built-in | ✅ | Small-medium apps |
| Meilisearch | ★★★★★ | Easy | ✅ Built-in | ✅ | Developer experience |
| Elasticsearch | ★★★★ | Complex | Plugin | ✅ | Enterprise, analytics |
| Algolia | ★★★★★ | SaaS | ✅ Built-in | ✅ | Quick integration |
// Typesense — Setup and search
import Typesense from 'typesense';
const client = new Typesense.Client({
nodes: [{ host: 'localhost', port: 8108, protocol: 'http' }],
apiKey: process.env.TYPESENSE_API_KEY!,
});
// Create collection
await client.collections().create({
name: 'products',
fields: [
{ name: 'name', type: 'string' },
{ name: 'description', type: 'string' },
{ name: 'price', type: 'float', facet: true },
{ name: 'category', type: 'string', facet: true },
{ name: 'rating', type: 'float', sort: true },
],
default_sorting_field: 'rating',
});
// Search with facets
const results = await client.collections('products').documents().search({
q: 'wireless headphones',
query_by: 'name,description',
filter_by: 'price:<100 && category:=Electronics',
facet_by: 'category,price',
sort_by: 'rating:desc',
per_page: 20,
});
Orchestration & Integration
database-orm-expert,vector-db-rag-expert,ecommerce-expert
Bahasa Indonesia
Deskripsi
Panduan ahli untuk mengimplementasikan pencarian full-text di aplikasi web. Mencakup Typesense, Meilisearch, Elasticsearch, pencarian berfaset, autocomplete, dan optimasi relevansi.
Kondisi Pemicu
- Mengimplementasikan fungsionalitas pencarian di luar query SQL LIKE.
- Membangun fitur autocomplete atau search-as-you-type.
- Memilih mesin pencarian untuk aplikasi.
Signals
- GitHub stars
- 50
- Forks
- 10
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
search-engine-expert- Source
- github.com/roedyrustam/vibes-plug