Mission: Build an Enterprise Search System
Implement a fast, intelligent search system with full-text indexing, faceted filtering, and AI-powered relevance.
Mission Overview
This mission deploys a specialized AI squad to handle build a search engine. Your squad of 3 specialized agents works in parallel, delivering results in 3-5 weeks.
Enterprise search connects people with the information they need, and poor search implementation is the silent productivity killer in most organizations. This mission deploys your AI squad to build a fast, intelligent search system with full-text indexing, faceted filtering and aggregation, AI-powered relevance ranking, autocomplete and suggestions, search analytics, and multi-language support. Forge evaluates and implements the optimal search technology: Elasticsearch for full control, Algolia for hosted speed, Typesense for open-source efficiency, or Meilisearch for simplicity. The squad implements semantic search with AI embeddings so users find results by meaning rather than exact keywords. ShipSquad search implementations go beyond keyword matching by combining traditional full-text search with vector similarity for semantic understanding. Click-through signals, boost rules, synonym mappings, and A/B testing continuously improve result quality based on real user behavior. Pixel builds a search interface with instant results, filter panels, and highlighted matches that help users find information in milliseconds. The mission delivers in 3-5 weeks with enterprise-grade search that scales as your data grows.
What You Get
- ✓ Full-text search index
- ✓ Faceted filtering and aggregation
- ✓ AI relevance ranking
- ✓ Autocomplete and suggestions
- ✓ Search analytics and insights
- ✓ Multi-language support
Your AI Squad
Frequently Asked Questions
Elasticsearch or Algolia?▾
Elasticsearch for full control and complex queries, Algolia for hosted simplicity and speed. We also consider Typesense and Meilisearch.
Can search understand natural language?▾
Yes, we implement semantic search with AI embeddings so users find results by meaning, not just keyword matching.
How do you optimize relevance?▾
We tune ranking with click-through signals, boost rules, synonym mappings, and A/B testing to continuously improve result quality.