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Query Expansion System

The Query Expansion System addresses vocabulary mismatch between enterprise user queries and document content, significantly improving search recall and user satisfaction.

Problem Statement​

Enterprise users often search using their own terminology, abbreviations, and domain-specific language that differs from how documents are written. This vocabulary mismatch causes relevant content to be missed, reducing search effectiveness.

Solution Overview​

Our comprehensive query expansion system provides:

  • Domain-Specific Synonym Management: Curated synonym dictionaries for different domains
  • Dynamic Query Expansion: Multiple expansion strategies using embeddings and semantic similarity
  • User Feedback Integration: Adaptive learning from user interactions
  • Acronym and Abbreviation Expansion: Automatic resolution of technical abbreviations
  • Contextual Synonym Selection: Role and department-based expansion
  • Confidence Scoring: Relevance weighting for expansion quality
  • Conflict Resolution: Handling of ambiguous terms and conflicting synonyms

Key Features​

🎯 Multiple Expansion Strategies​

  • Synonym Expansion: Replace terms with domain-specific synonyms
  • Acronym Expansion: Resolve technical abbreviations (API → Application Programming Interface)
  • Semantic Expansion: Find semantically similar terms using embeddings
  • Contextual Expansion: Role and department-based term expansion

📊 Analytics and Monitoring​

  • Expansion Effectiveness Metrics: Success rates, confidence scores, relevance tracking
  • Synonym Usage Analytics: Popular synonyms, domain distribution, source breakdown
  • User Behavior Metrics: Engagement patterns, role preferences, department usage
  • Quality Monitoring: Precision, recall, F1 scores, false positive/negative rates

🔧 Management Interface​

  • CRUD Operations: Create, read, update, delete synonym entries
  • Bulk Import/Export: CSV and JSON support for large-scale operations
  • User Access Control: Role-based permissions and domain restrictions
  • Audit Logging: Complete audit trail for all operations

Quick Start​

Basic Usage​

from packages.rag.query_expansion import create_query_expansion_system

# Create expansion system
system = create_query_expansion_system()

# Expand a query
expansions = await system.expand_query(
    query="API documentation",
    context=expansion_context
)

Adding Synonyms​

await system.add_synonym(
    term="API",
    synonym="Application Programming Interface",
    domain="technical",
    confidence=0.9
)

Analytics​

from packages.rag.synonym_analytics import create_synonym_analytics

analytics = create_synonym_analytics()
metrics = await analytics.get_expansion_metrics()

Expected Impact​

  • 30-50% improvement in search recall through vocabulary expansion
  • Reduced user frustration from missed relevant content
  • Systematic domain knowledge capture and organization
  • Continuous improvement through adaptive learning

Documentation Structure​

Next Steps​

  1. Review the Complete Guide for detailed implementation information
  2. Check the Examples for working code demonstrations
  3. Set up the System using the configuration guide
  4. Monitor Performance with the analytics dashboard

The Query Expansion System is production-ready with enterprise-grade features and comprehensive documentation.