The Mistral connector integrates Mistral AI’s language models with the Aparavi Data Toolchain, providing optimized models for various tasks. This documentation helps you understand how to use and configure the Mistral node effectively. This is typically used for tasks such as natural language processing, complex reasoning, technical content generation, and conversational AI.
Key capabilities
- Advanced NLP capabilities
- Models for different context sizes
- Smart retry logic and error handling
- Configurable timeouts
- Production-ready monitoring
Configuration
When setting up the Mistral node, you’ll need to configure several parameters:
Basic Configuration
- Model Selection: Choose the appropriate Mistral model variant based on your needs
- API Key: Enter your Mistral AI API key from the console
Inputs and Outputs
Input Channels
- Prompt: Primary text input for the model
- Questions: Structured query inputs
- Documents: Text content for context
Output Channels
- Text: Generated text responses
- Answers: Structured response outputs
Supported Model Variants
| Model Variant | Token Limit | Response Time | Optimized for |
|---|---|---|---|
| mistral-large-2411 | 131K | ~2-3s | High-accuracy complex tasks |
| mistral-medium-2505 | 131K | ~1-2s | Balanced performance |
| mistral-small-2407 | 32K | <1s | Fast responses |
| mistral-small-2506 | 131K | ~1s | Latest small with large context |
| mistral-small-2503 | 131K | ~1s | Previous small with large context |
| mistral-small-2501 | 32K | <1s | Base small model |
| magistral-small-2506 | 40K | ~1-2s | Specialized reasoning |
| devstral-small-2507 | 131K | ~1-2s | Technical/code tasks |
| ministral-8b-2410 | 131K | <1s | Edge deployment (8B) |
| ministral-3b-2410 | 131K | <1s | Edge deployment (3B) |
Common Use Cases
Content Generation
- Create technical documentation and reports
- Generate creative content and summaries
Data Analysis
- Extract insights from complex text
- Categorize and classify content
Conversational AI
- Build intelligent chatbots and assistants
- Create specialized technical support systems
Frequently Asked Questions
Authentication Errors
- Invalid API key: Verify your Mistral API key is set and valid.
- Wrong key format: Ensure you’re not using OpenAI or Gemini keys.
Rate Limiting & Timeouts
- Rate limiting: Implement back-off strategies based on model type.
- Timeouts: Adjust timeout settings based on model size (60-120s).
Performance Issues
- Slow responses: Consider using smaller models for time-sensitive tasks.
- Context limitations: Select models with appropriate token limits.
Additional Resources
Mistral AI Documentation
Mistral AI Console
Mistral AI Client Libraries
