RAG Noise Pruner
Prune noisy and redundant RAG chunks by scoring relevance, information density, and duplication risk.
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Chunks
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Keep
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Rewrite
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Drop
0.0
Avg Score
Chunk decisions
Add query and chunks to prune noise.
Pruned chunk set
Ranked JSON
About This Tool
RAG Noise Pruner removes low-value chunks before retrieval by combining relevance, density, and duplication heuristics.
Frequently Asked Questions
Is this embedding similarity?
No. Scoring is deterministic and lexical for fast local pruning.
Why mark some chunks as rewrite?
Rewrite indicates partially relevant chunks that need compression or cleanup rather than removal.
Is data uploaded?
No. Chunk pruning runs locally in your browser.
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RAG Context Relevance Scorer
Rank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.
Compare With Similar Tools
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Workflow Links
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Before This Tool
RAG Context Relevance ScorerRank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.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
RAG Context Relevance ScorerRank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.RAG Context Poisoning DetectorDetect poisoned retrieval chunks with injection and exfiltration-style risk markers.Jailbreak Replay LabReplay jailbreak scenarios, score model defenses, and export deterministic safety reports.