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RAG and context

RAG Source Coverage

Measure the coverage of your document corpus by your RAG retrieval system. Identify document types, topics, and sections that are systematically under-retrieved, ensuring your AI has access to the full breadth of knowledge in your document collection.

Run RAG Source Coverage Interactively 100% client-side execution in your browser. Zero data retention.
Open Interactive Tool

What Problem RAG Source Coverage Solves

Production AI deployments require predictable token economics, rigorous parameter verification, and deterministic schema handling. RAG Source Coverage isolates parameters client-side before payloads hit third-party foundation model APIs.

Primary Production Use Cases

  • Audit knowledge base coverage for enterprise QA system
  • Identify missing topics in support bot knowledge

Security & Data Privacy Considerations

All computations execute locally in browser memory. No prompt payloads, test inputs, or secret credentials are ever retained or stored on central servers.

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