CompletionComponent
. This component allows you to leverage large language models (LLMs) like GPT-4 or Claude to create intelligent, context-aware applications. In this guide, we’ll explore how to effectively use the CompletionComponent
to build sophisticated AI assistants.
Basic Usage
To get started with AI assistants in SmartGraph, you’ll use theCompletionComponent
. Here’s a simple example:
Customizing the AI Assistant
TheCompletionComponent
offers several customization options:
Model Selection
Choose the AI model you want to use:Temperature
Control the randomness of the AI’s responses:Streaming Responses
Enable streaming for real-time responses:Advanced Usage
Integrating External Knowledge
Enhance your AI assistant with external knowledge using the DuckMemoryToolkit:Best Practices
- API Key Security: Always use environment variables or secure key management systems for API keys.
- Error Handling: Implement robust error handling to manage potential issues with the AI service.
- Logging: Use the SmartGraphLogger for consistent logging across your application.
- Memory Management: When using memory toolkits, consider implementing a strategy for managing the growth of stored data.
- Rate Limiting: Implement rate limiting to avoid exceeding API quotas and manage costs.
Conclusion
TheCompletionComponent
in SmartGraph provides a powerful way to integrate AI assistants into your applications. By leveraging its features and following best practices, you can create sophisticated, context-aware AI applications that enhance user experiences and automate complex tasks.
Next Steps
Now that you understand how to integrate AI assistants using theCompletionComponent
and enhance them with external knowledge, explore how to create custom components in the Custom Components section to further extend your SmartGraph applications.