tegwick
8179929a4a
Added comprehensive full text search capabilities as a lightweight plugin. Key features: - SQLite FTS5-based search engine with no external dependencies - Automatic indexing via database triggers for real-time updates - Advanced query support: phrase search, boolean operators, proximity search - Complete CLI interface with search commands - Graceful fallback to LIKE queries when FTS5 unavailable - Plugin architecture integration for extensibility CLI Commands: - `markitect search init` - Initialize search indexes - `markitect search query` - Perform full text searches - `markitect search status` - View index statistics - `markitect search rebuild` - Rebuild indexes from scratch Search Features: - Content type filtering (files, schemas, all) - Result pagination and formatting options - Query validation and syntax assistance - Performance optimization and index maintenance Technical Implementation: - FTSSearchPlugin: Main search plugin class - SearchIndexer: FTS5 table management and indexing - QueryParser: Query optimization and FTS5 syntax conversion - Comprehensive error handling and fallback mechanisms - 25 test cases covering all functionality Documentation includes complete usage guide and examples. Resolves issue #83: Full text search 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
Key Features:
- Lightning Performance: 60-85% faster document processing through intelligent AST caching
- Schema Validation: Enforce document structure and consistency
- Database Integration: Query markdown content with SQL-like operations
- CLI Tools: Complete command-line interface for automation and workflows
📚 Documentation
Quick Start: Getting Started · Command Reference
Architecture: Caching System · Performance Philosophy
Development: TDD Workflow · Contributing
Project Status: Current Status · Roadmap · Next Actions