RAG Chunking Simulator
Simulate chunk size and overlap strategies to estimate retrieval-friendly chunk distributions.
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Chunks
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Source Chars
0.0
Avg Chunk Chars
0.0%
Overlap Duplication
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Max Chunk Tokens (est.)
About This Tool
RAG Chunking Simulator helps tune chunk parameters before indexing documents. It visualizes chunk counts, overlap duplication, and approximate token footprint for each chunk.
Frequently Asked Questions
Is sentence-aware always better?
Not always. It often improves readability, but strict fixed windows can be simpler and faster.
Why does overlap increase token cost?
Overlap duplicates text across chunks, improving recall but increasing total indexed tokens.
Is text uploaded?
No. Simulation runs entirely in your browser.
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Workflow Links
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Before This Tool
Prompt Injection SimulatorSimulate prompt-injection attacks and score guardrail resilience before release.Prompt LinterLint prompts for ambiguity, missing constraints, and conflicting instructions.Function Calling Schema TesterTest tool-call arguments against function schema and catch validation failures early.
Next Step Tools
Jailbreak Replay LabReplay jailbreak scenarios, score model defenses, and export deterministic safety reports.Prompt Injection SimulatorSimulate prompt-injection attacks and score guardrail resilience before release.RAG Context Relevance ScorerRank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.