Search Engine Expert

Search Engine Expert (2026 Edition)

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

// 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.