[Phase 11] Full-Text Search - Advanced Text Search #18
Description
Phase 11: Advanced Features
Overview
Implement advanced full-text search capabilities with PostgreSQL compatibility and modern search features.
Features to Implement
- Text search vectors (tsvector) and queries (tsquery)
- Multiple language support with stemming and stop words
- Custom text search configurations
- Ranking and relevance scoring algorithms
- Phrase and proximity search
- Search result highlighting and snippets
Technical Requirements
- Text preprocessing and tokenization
- Inverted index data structures
- Language-specific analyzers and dictionaries
- Search query parsing and optimization
- Index maintenance for text search
- Integration with existing SQL parser and executor
Success Criteria
- PostgreSQL-compatible full-text search functionality
- High-performance search with sub-second response times
- Multi-language search support
- Relevant search result ranking
- Efficient index maintenance and updates
- Integration with vector search for hybrid search capabilities
Dependencies
- Existing SQL parser and index management
- Text processing libraries
- Vector operations for hybrid search
Estimated Effort
5-6 weeks