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Framework and platform for validating and constraining LLM outputs.
Advanced validation system that detects and prevents AI-generated hallucinations in real-time, ensuring response accuracy and truthfulness for production applications.
Comprehensive content moderation system that detects and filters toxic, offensive, or inappropriate language from AI outputs using ML-based validators.
Security-focused feature that prevents sensitive data exposure in AI responses, including PII detection, financial data protection, and proprietary information safeguarding.
Platform-agnostic validation framework compatible with multiple Large Language Models, enabling consistent safety measures across different AI providers.
Extensive open-source collection of pre-built validators contributed by the community, covering various use cases and risk scenarios.