How to Implement Search Functionality
Add fast, relevant search to your application with full-text search, autocomplete, and filtering.
What You'll Learn
This intermediate-level guide walks you through how to implement search functionality step by step. Estimated time: 12 min.
Step 1: Choose your search backend
Select PostgreSQL full-text search for simplicity, Elasticsearch for advanced features, or Typesense/Meilisearch for easy setup.
Step 2: Set up search indexing
Configure your search index with proper field mappings, analyzers, tokenizers, and synonym support.
Step 3: Implement search API
Build a search endpoint with query parsing, filtering, faceting, pagination, and result highlighting.
Step 4: Add autocomplete
Implement type-ahead suggestions using prefix matching, popular queries, and recent search history.
Step 5: Optimize relevance
Tune scoring with field boosting, custom ranking functions, and user behavior signals to improve result quality.
Frequently Asked Questions
Do I need a dedicated search engine?▾
PostgreSQL full-text search handles most small to medium applications well. Move to Elasticsearch or Typesense when you need faceting, synonyms, or typo tolerance.
How do I handle typos in search?▾
Meilisearch and Typesense have built-in typo tolerance. For Elasticsearch, use fuzzy matching. For PostgreSQL, use trigram similarity with pg_trgm.
How fast should search be?▾
Autocomplete should respond in under 100ms, full search results in under 300ms. Use caching and query optimization to hit these targets.