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RAG and context

RAG Context Analyzer

Analyze the quality and composition of context retrieved by your RAG pipeline. Score relevance of each retrieved chunk to the query, detect redundant chunks wasting context budget, identify coverage gaps, and measure faithfulness of generated responses to retrieved context.

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

What Problem RAG Context Analyzer Solves

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

Primary Production Use Cases

  • Audit retrieved context quality for legal QA system
  • Identify redundant retrieval in production RAG

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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