Instructor
Instructor empowers developers to extract structured data from natural language using Large Language Models (LLMs). By leveraging Python’s Pydantic library, it simplifies schema validation and integrates seamlessly with IDEs. Users can define customized output structures and validators, enhancing the efficiency and reliability of data validation across various LLM providers.
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Top Instructor Features
- Structured outputs from LLMs
- Simplified schema definition
- IDE integration with Pydantic
- Custom validators support
- Custom error messages
- Multi-LLM provider support
- Retry attempts configuration
- Type hints for clarity
- Easy data validation
- Actionable insights generation
- Knowledge graph creation
- Function calling support
- Enums for classification
- User-friendly documentation
- Community support via Discord
- Comprehensive cookbook available
- Extensive GitHub contributions
- Active contributor community
- Seamless integration with Python
- High customization capabilities.
