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Local Deep Research v0.2.0 Release Notes
We're excited to announce Local Deep Research v0.2.0, a major update that brings significant improvements to research capabilities, performance, and user experience.
Major Enhancements
New Search Strategies
- Parallel Search: Lightning-fast research that processes multiple questions simultaneously
- Iterative Deep Search: Enhanced exploration of complex topics with improved follow-up questions
- Cross-Engine Filtering: Smart result ranking across multiple search engines for higher quality information
Improved Search Integrations
- Enhanced SearxNG Support: Better integration with self-hosted SearxNG instances
- Improved GitHub Integration: More effective search and analysis of code repositories
- Better Source Selection: Refined logic for choosing the most appropriate search engines per query
Technical Improvements
- Unified Database: All settings and history now in a single
ldr.dbdatabase - Improved Ollama Integration: Better reliability and error handling with local models
- Enhanced Error Recovery: More graceful handling of connectivity issues and API errors
User Experience
- Enhanced Logging Panel: Improved visibility with duplicate detection and better filtering
- Streamlined Settings UI: Reorganized settings interface with better organization
- Research Progress Tracking: More detailed real-time updates during research
Development Improvements
- PDM Support: Switched to PDM for dependency management
- Pre-commit Hooks: Added linting and code quality checks
- Code Security: Added CodeQL integration with analysis scripts
- Improved Documentation: Better development guides and setup instructions
API Changes
- Renamed and consolidated some API functions for consistency
- Added support for additional parameters in research configuration
- Improved error handling and response formatting
Migration Notes
- The application now uses a unified database (
ldr.db) that will automatically migrate data from older databases - If upgrading from v0.1.x, your settings and research history will be automatically migrated on first run
- The
llm_config.pyfile has been deprecated in favor of direct environment variable configuration
Bug Fixes
- Fixed issues with settings persistence across sessions
- Resolved UI rendering problems in the history and results pages
- Fixed socket.io event handling and client disconnection issues
- Improved handling of large document collections
- Fixed API endpoint URL inconsistencies
Contributors
This release represents the combined efforts of multiple contributors :
- @djpetti, @HashedViking, @LearningCircuit (core contributors to this release; sorted alphabetically)
- @dim-tsoukalas, @scottvr (sorted alphabetically)
Get Involved
- Join our Discord for support and discussions
- Follow our Subreddit for announcements and updates
- Report bugs and request features on our GitHub Issues
Installation
Download the Windows Installer or install via pip:
pip install local-deep-research
Requires Ollama or other LLM provider. See the README for complete setup instructions.