Refactoring my Local AI Assistant: Moving from JSON to SQLite and Plugins (v1.2.0)
📰 Dev.to · Jaime
Refactor a local AI assistant by switching from JSON to SQLite and adding plugins for improved performance and scalability
Action Steps
- Build a local AI assistant using Python and libraries like Ollama, PyQt6, and Piper
- Migrate data storage from JSON to SQLite for better data management
- Design and implement a plugin architecture to extend the assistant's functionality
- Configure the plugin system to load and execute plugins dynamically
- Test the refactored assistant to ensure seamless integration and improved performance
Who Needs to Know This
Developers and AI engineers can benefit from this refactoring approach to improve the efficiency and flexibility of their local AI assistants
Key Insight
💡 Switching from JSON to SQLite and implementing a plugin architecture can significantly improve the performance and scalability of a local AI assistant
Share This
🤖 Refactor your local AI assistant with SQLite and plugins for a boost in performance and scalability! 💻
Key Takeaways
Refactor a local AI assistant by switching from JSON to SQLite and adding plugins for improved performance and scalability
Full Article
A few days ago, I built a local virtual assistant in Python (JARVIS) using Ollama, PyQt6, and Piper...
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