Empower your development and research teams to thoroughly evaluate, enhance performance, and ensure comprehensive use case coverage for your RAG-powered systems and chatbots.
SENSEcheck™ is our comprehensive feature set that helps you detect regressions, conduct penetration tests, and assess hallucinations for top-tier AI performance. With simple YAML configuration and seamless CI integration, SENSEcheck™ optimizes your development workflow.
Flexible Endpoint Integration. Test all your AI models and chatbots with ease.
YAML-Driven Setup. Get up and running quickly with intuitive YAML-based test definitions.
Dynamic Test Creation. Build a wide range of test cases to ensure comprehensive evaluation.
In-Depth RAG Analysis. Analyze the intricacies of your RAG pipelines for optimal performance and accuracy.
Edge Case Detection. Proactively identify and resolve the most elusive and impactful errors.
Easily create a YAML file with your specific questions and expected answers. SENSEcheck™ then uses this to benchmark Language Models like Amazon Bedrock, ensuring they meet your critical standards for accuracy and relevance.
Easily compare AI-generated responses against your authoritative sources. This crucial workflow guarantees your AI's output aligns with factual information, ideal for applications where precision is paramount.
Directly access your vector or document databases to generate tailored test scenarios. SENSEcheck™ uses this custom set (after your review) to ensure your AI endpoint accurately retrieves and utilizes your unique information.
Test the correctness and reliability of your AI's language processing using powerful, regex-inspired patterns written in natural language. This feature enables sophisticated checks for language understanding and generation, ensuring precise handling of intricate linguistic structures.
Define the core expertise of your AI endpoint (e.g., "Expert in quantum physics"). Our intelligent system then crafts a comprehensive test suite of questions and answers to rigorously evaluate its performance across a wide spectrum of relevant queries, guaranteeing it consistently fulfills its intended purpose.
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