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RAG and context

RAG Context Compression

Compress retrieved RAG context using extractive and abstractive compression techniques. Reduce context token count while preserving maximum information density and relevance. Fit more useful source content into your context window for higher quality answers.

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

What Problem RAG Context Compression Solves

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

Primary Production Use Cases

  • Compress lengthy legal documents before injection
  • Fit more sources into limited context window

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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