ragify_flutter changelog | Flutter package

0.0.6 #

Package Examples: Added comprehensive example files following Dart package layout guidelines
Example Documentation: Created detailed README.md for examples with usage patterns
Code Quality: Fixed all linter errors and ensured Flutter analyze passes with 0 issues
API Compliance: Updated examples to use correct RAGify Flutter API methods and constructors
Flutter Integration: Improved example code with proper Flutter debugging practices
Package Scoring: Resolved pub.flutter-io.cn scoring issues for missing example files
Documentation: Enhanced example documentation with real, functional code examples
Developer Experience: Clear usage patterns for both basic and advanced RAGify features

MongoDB Integration: Complete MongoDB support with JSON query parsing and document mapping
Database Testing Framework: Comprehensive testing setup for SQLite, PostgreSQL, MySQL, and MongoDB
Automated Publishing: GitHub Actions workflow for automated pub.flutter-io.cn publishing with OIDC authentication
Platform-Specific Scripts: Database setup scripts for Android, iOS, and Web platforms
Test Databases: Ready-to-use test databases with sample data for all supported database types
Dynamic Database Selection: Easy switching between different database types in the example app
MongoDB Query Execution: Proper JSON query parsing, parameter substitution, and document mapping
Connection Pooling: Efficient database connection management for all database types
Debug Logging: Extensive logging for troubleshooting database operations
Error Handling: Robust error handling for all database operations
Network Configuration: Proper setup for remote database access
Version Management: Automated version tagging and publishing workflow
Documentation: Comprehensive guides for database testing and automated publishing

Code Quality: Resolve all Flutter analysis issues (0 warnings, 0 errors)
Formatting: Apply consistent code formatting across all 92 files with dart format
Import Cleanup: Remove unused imports and fix import organization
Code Style: Add missing curly braces to if statements for better readability
Test Coverage: Maintain comprehensive test coverage with improved code quality
Publication Ready: Fix all pub.flutter-io.cn publication warnings and prepare for deployment
Searchability: Optimize pub.flutter-io.cn search with RAG-specific topics and keywords

Testing: Fix test isolation across suites (AdvancedFusionEngine, DocumentSource)
Quality: Add lints package and resolve all analyzer issues
Formatting: Run dart format over source and tests
Packaging: Update .pubignore to include generated *.g.dart files
Stability: Ensure generated files are up to date via build runner
Misc: Minor refactors and reliability improvements

Major Package Score Improvement: Achieved perfect 160/160 pub.flutter-io.cn score
PostgreSQL Package Upgrade: Updated to latest version with full API compatibility
Enhanced Platform Support: Improved cross-platform database handling with conditional imports
Static Analysis: Resolved all linter issues for perfect static analysis score
Test Coverage: Achieved 100% test coverage across all modules (719 tests passing)
Documentation: Generated comprehensive API documentation with 0 warnings/errors
Code Quality: Enhanced utility classes with improved similarity calculation and deduplication
Performance: Optimized vector operations with chunked processing for large datasets
Security: Enhanced privacy utilities with corrected access control logic
Dependencies: All packages updated to latest stable versions

Initial release of RAGify Flutter
Core context orchestration framework for Flutter applications
Multi-source data fusion with intelligent conflict resolution
Privacy management with configurable security levels
Cross-platform support (iOS, Android, Web, Desktop)
Comprehensive test coverage (40.92%)
Advanced fusion engine for intelligent context processing
Security manager for authentication and authorization
Cache manager for performance optimization
Vector database for semantic search capabilities
Support for multiple data sources (documents, APIs, databases, real-time)
Utility classes for context processing, privacy management, and embedding operations