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IdeaWeaver Roadmap

Overview

This document outlines the planned features, improvements, and milestones for IdeaWeaver. We welcome community feedback and contributions to help shape the future of the project.

Current Quarter (Q2 2025)

Model Training & Fine-tuning

  • [ ] Support for more model architectures
  • [ ] Improved distributed training capabilities
  • [ ] Enhanced LoRA/QLoRA optimization
  • [ ] Automated hyperparameter tuning
  • [ ] Better memory management for large models

RAG System Improvements

  • [ ] Multi-vector store support
  • [ ] Advanced chunking strategies
  • [ ] Improved retrieval algorithms
  • [ ] Better context management
  • [ ] Enhanced evaluation metrics

MCP Integration

  • [ ] Additional service integrations
  • [ ] Improved error handling
  • [ ] Better authentication management
  • [ ] Enhanced logging and monitoring
  • [ ] More comprehensive documentation

Next Quarter (Q3 2025)

Enterprise Features

  • [ ] Role-based access control
  • [ ] Audit logging
  • [ ] Compliance reporting
  • [ ] Enterprise SSO integration
  • [ ] Advanced security features

Performance Optimization

  • [ ] Improved inference speed
  • [ ] Better resource utilization
  • [ ] Enhanced caching mechanisms
  • [ ] Optimized memory usage
  • [ ] Reduced latency

Developer Experience

  • [ ] Enhanced CLI interface
  • [ ] Better error messages
  • [ ] Improved debugging tools
  • [ ] More comprehensive testing
  • [ ] Better documentation

Future Plans (Q4 2025 and Beyond)

Advanced Features

  • [ ] Multi-modal model support
  • [ ] Advanced agent capabilities
  • [ ] Custom model architectures
  • [ ] Enhanced evaluation frameworks
  • [ ] Advanced deployment options

Platform Improvements

  • [ ] Cloud-native deployment
  • [ ] Kubernetes integration
  • [ ] Serverless deployment options
  • [ ] Enhanced monitoring
  • [ ] Better scalability

Community Features

  • [ ] Model sharing marketplace
  • [ ] Community benchmarks
  • [ ] Collaborative training
  • [ ] Knowledge base
  • [ ] Community plugins

Contributing to the Roadmap

We welcome community input on our roadmap. Here's how you can contribute:

  1. Submit Feature Requests
  2. Use GitHub Issues
  3. Provide detailed descriptions
  4. Include use cases

  5. Suggest implementation approaches

  6. Join Discussions

  7. Participate in GitHub Discussions
  8. Join our community meetings
  9. Share your ideas

  10. Provide feedback

  11. Contribute Code

  12. Follow our Guidelines
  13. Submit pull requests
  14. Write tests
  15. Update documentation

Priority Areas

  1. Performance
  2. Faster training
  3. Better resource utilization
  4. Reduced memory usage

  5. Improved inference speed

  6. Usability

  7. Better error handling
  8. Improved documentation
  9. Enhanced CLI experience

  10. More examples

  11. Enterprise

  12. Security features
  13. Compliance tools
  14. Monitoring capabilities

  15. Integration options

  16. Community

  17. Better collaboration tools
  18. More documentation
  19. Enhanced support
  20. Community features

Timeline

Quarter Focus Areas Key Milestones
Q2 2025 Core Features Enhanced training, RAG improvements
Q3 2025 Enterprise Security, compliance, monitoring
Q4 2025 Advanced Features Multi-modal, advanced agents
2026 Platform Cloud-native, scalability

Feedback

We value your feedback! Please help us improve by:

  1. Opening GitHub issues
  2. Participating in discussions
  3. Contributing code
  4. Sharing your experiences
  5. Suggesting improvements

Resources