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RAG and context

RAG Chunking Playground

Test and compare fixed-size, sentence-boundary, semantic, and recursive chunking strategies for RAG document ingestion. Visualize chunk boundaries, overlap regions, and token counts for each strategy. Identify the optimal chunking approach for your document type and retrieval use case.

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

What Problem RAG Chunking Playground Solves

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

Primary Production Use Cases

  • Find optimal chunk size for technical documentation
  • Compare semantic vs fixed chunking for legal docs

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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