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Awesome GitHub RepositoriesContextual Data Validators
Validates extracted content against external runtime information or source documents.
Distinct from Data Validation: Distinct from Data Validation: focuses on context-aware validation against external references rather than static schema constraints.
Explore 1 awesome GitHub repository matching data & databases · Contextual Data Validators. Refine with filters or upvote what's useful.
Awesome Contextual Data Validators GitHub Repositories
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- 567-labs/instructor
567-labs/instructor
13,176عرض على GitHubInstructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc
Validates extracted content against external runtime information or source documents.
Pythonopenaiopenai-function-calliopenai-functions
