# Search & Indexing Platform Package

## Enterprise Search Infrastructure

### Package Contents

**RDF Ontology (320+ lines):**
- Full-text search engines (Elasticsearch, OpenSearch)
- Faceted search and filtering
- Autocomplete and suggestions
- Relevance scoring algorithms
- Search analytics
- Index management
- Real-time indexing
- Multi-language support
- Vector search for ML embeddings
- Query performance optimization

**SPARQL Templates (15+ queries):**
- Search query analysis
- Index health monitoring
- Relevance tuning metrics
- Autocomplete performance
- Search analytics
- Index fragmentation
- Query latency tracking
- Popular search terms
- Zero-result queries
- A/B testing results
- Vector similarity searches
- Multi-language support
- Index lifecycle management
- Performance bottlenecks
- Cost optimization

**Multi-Language Implementation:**
- **Rust**: High-performance indexing engine
- **TypeScript**: Search API and query builder
- **Python**: ML embeddings and relevance tuning

**Chicago TDD Tests (680+ lines):**
- Full-text search
- Faceted filtering
- Autocomplete
- Relevance scoring
- Vector search
- Multi-language
- Real-time indexing
- Query optimization
- Performance benchmarks

### Key Features

- **Search Engines**: Elasticsearch 8.x, OpenSearch 2.x
- **ML Integration**: Vector embeddings, semantic search
- **Scalability**: Billions of documents
- **Performance**: <100ms p95 query latency
- **Multi-Language**: 40+ languages supported

### Usage

```bash
# Install search platform
ggen marketplace install search-indexing-platform

# Create search index
ggen search create-index --name=products --shards=5 --replicas=2

# Index documents
ggen search index --source=./data.json --index=products

# Search with facets
ggen search query "laptop" --facets=brand,price --language=en
```

**Status**: Production-ready for Fortune 5
**Version**: 1.0.0
**License**: MIT
