Advanced Search with Elasticsearch
Implement advanced search capabilities using Elasticsearch or Algolia with full-text search, autocomplete, fuzzy matching, faceted filtering, and relevance tuning. Includes search analytics to understand user behavior.
Project Milestone & Feature Breakdown
1 Search Infrastructure Setup
Set up Elasticsearch and data indexing
5 pts 1 week 2 Features
Search Infrastructure Setup
Set up Elasticsearch and data indexing
Elasticsearch Setup
Configure Elasticsearch cluster and indices
Data Indexing
Index data with mappings and analyzers
Deliverables
- Elasticsearch cluster
- Index configuration
- Data pipeline
2 Search Features
Implement search UI with autocomplete and filters
5 pts 1 week 3 Features
Search Features
Implement search UI with autocomplete and filters
Search UI
Search bar with instant results and highlighting
Autocomplete
Real-time search suggestions as user types
Faceted Filters
Dynamic filters with counts and multi-select
Deliverables
- Search UI
- Autocomplete
- Filter components
3 Relevance & Analytics
Tune search relevance and track analytics
3 pts 3-5 days 2 Features
Relevance & Analytics
Tune search relevance and track analytics
Relevance Tuning
Boost fields, synonyms, and fuzzy matching
Search Analytics
Track popular queries and zero-result searches
Deliverables
- Relevance configuration
- Search analytics
- Performance metrics
Technical Stack
Key Considerations
Index size and query performance
Relevance tuning for your domain
Handling typos with fuzzy matching
Keeping search index in sync with database
Cost optimization for cloud search services
Success Criteria
Search returns relevant results in under 100ms
Autocomplete suggests results instantly
Fuzzy matching handles typos
Faceted filters update dynamically
Search analytics track user behavior
Related Use Cases
View All Use CasesInterested in This Project?
Request access. Get a detailed estimate and timeline within hours.
Request Accessโ Free for beta testers ยท โ Effort estimate ยท โ Limited spots