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ContextCheck: An Open-Source Framework for Testing & Evaluating LLMs, RAGs and Chatbots
ContextCheck: An Open-Source Framework for Testing & Evaluating LLMs, RAGs and Chatbots

December 3, 2024

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Building reliable AI chatbots is harder than it looks. Developers know the pain: you create a promising conversational AI, but how can you be sure it's actually giving accurate, trustworthy responses? Enter ContextCheck – the tool we developed to solve real-world AI testing challenges.

What Makes ContextCheck Different?

Most AI testing tools are surface-level. They might check basic response generation or run simple tests. ContextCheck goes deeper, providing a comprehensive approach to evaluating Retrieval-Augmented Generation (RAG) and chatbot systems.

Key Features for Developers:

  1. Hallucination Detection: ContextCheck has a sophisticated mechanism to identify when AI generates unsupported or completely fabricated responses. It doesn't just flag potential issues – it gives you precise details about where and how the hallucination occurred.
     
  2. Groundedness Evaluation: Our tool doesn't just say "this might be wrong" – it measures how tightly your AI's responses are anchored to actual source documents. You'll get a clear, quantifiable score showing how much the chatbot relies on verified information versus generating novel (and potentially incorrect) content.
     
  3. Flexible, Custom Scoring Metrics: Every AI project is unique. That's why ContextCheck allows you to:
  • Create custom evaluation parameters
  • Adapt testing to your specific business needs
  • Define precise scoring criteria for your particular use case

Why Developers Need ContextCheck:

Performance Monitoring

  • Track your AI's consistency over time
  • Detect performance regressions before they become critical
  • Get ahead of potential issues during development

Risk Mitigation

  • Prevent potentially harmful or misleading AI responses
  • Protect your company's reputation by catching problematic outputs early
  • Ensure compliance with data accuracy requirements

Open Source, Community-Driven

We believe in collaborative innovation. That's why ContextCheck is:

  • Completely free
  • Open-source
  • Welcoming community contributions
  • Designed by developers, for developers

Check it out on GitHub: github.com/Addepto/contextcheck


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ContextCheck’s open-source framework is a game-changer for testing and evaluating AI chatbots and LLMs. Its deep-dive into hallucination detection and groundedness evaluation can significantly enhance trust and accuracy in AI systems. As AI becomes more integrated into businesses, tools like ContextCheck are essential for safeguarding quality and performance across platforms.

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