Implement Full-Text Search

Implement search functionality for the following application:

Application type: [web app / API / mobile backend]
What needs to be searchable: [products / articles / users / documents / other]
Search type needed: [simple filter / full-text / fuzzy / semantic / faceted / autocomplete / combination]
Database: [PostgreSQL / MySQL / MongoDB / Elasticsearch / other]
Backend: [Node.js / Python / PHP / other]
Frontend: [React / Vue / other]
Data volume: [small under 10k / medium / large millions]
Performance requirements: [response time target]
Multilingual: [yes / no]

Provide a complete search implementation:

SEARCH ARCHITECTURE:
- Recommended search approach for this use case
- Database native search vs dedicated search engine decision
- Index design
- Query architecture

INDEXING:
- Fields to index and why
- Index configuration (tokenisation, stemming, stopwords)
- Index update strategy (real-time / batch)
- Index maintenance

SEARCH API:
- Search endpoint design
- Query parameter schema
- Pagination approach
- Sorting options
- Filter parameters
- Response format

FULL BACKEND IMPLEMENTATION:
- Search query builder
- Filter logic
- Relevance scoring
- Fuzzy matching configuration
- Autocomplete endpoint
- Search analytics logging

FRONTEND SEARCH UI:
- Search input component with debouncing
- Results display component
- Loading and empty states
- Highlighting matched terms in results
- Facets/filters UI if applicable
- URL state management for search

ADVANCED FEATURES:
- Autocomplete/typeahead implementation
- Spell correction
- Synonyms handling
- Boosting certain fields or records
- Search analytics (what people search for)

PERFORMANCE:
- Query optimisation
- Caching search results
- Rate limiting the search endpoint

TESTING:
- Search relevance testing approach
- Edge case tests
- Performance benchmarks