Context.ai
  • What is Context.ai?
  • List of Trackable Metrics
  • Product Analytics
    • Overview
    • Topic Categorisation
      • LLM Topics
    • User Engagement Tracking
    • Foreign Language Support
    • PII Filtering
    • Custom Metadata Filtering
    • Backfill Analytics Data
    • Custom Events
    • API Ingestion Methods
      • Log Conversation
      • [deprecated] Upsert Conversation
      • Thread Conversation
      • Patch Thread Message
      • API Resources
        • Chat Message
        • [deprecated] Tool Message
        • Custom Event
        • Metadata
        • Conversation
        • Thread
    • Embedded API
      • Multi-Tenancy
      • Conversations
        • Series Data
  • Integrations
    • Getting Started
    • Python SDK
    • Javascript SDK
    • LangChain Plugin
    • Haystack Plugin
    • Authorization
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What is Context.ai?

NextList of Trackable Metrics

Last updated 10 months ago

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Context.ai is an evaluations and analytics tool for products powered by LLMs.

With Context.ai, you can understand how your users are interacting with natural language interfaces. This helps you know where your customers are having great experiences, but also proactively detect potential areas of improvement. You can test the performance impact of changes before you ship them to production with evaluations, and can identify where inappropriate conversations taking place.

Context.ai is great for:

  • Software and Machine Learning Engineers who want to measure and improve the quality of LLM responses.

  • Product Managers who want to optimize the performance of LLM based features.

  • Founders who want to understand customer behavior.

You can get started with Context.ai immediately by reviewing our getting started guides for .

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