RAG Context Poisoning Detector
Detect poisoned retrieval chunks with prompt-injection patterns and generate a cleaner context set.
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Poisoning Score
0
Keep
0
Review
0
Block
0.0
Avg Risk
Chunk risk decisions
Provide query and chunks to analyze poisoning risk.
Cleaned context output
About This Tool
RAG Context Poisoning Detector highlights suspicious retrieval chunks that contain injection-style instructions, exfiltration phrases, and secret-like patterns before they enter generation context.
Frequently Asked Questions
Is this embedding-based detection?
No. It is deterministic lexical and pattern-based analysis for fast browser-side pre-filtering.
Should review chunks be kept?
Keep them only if you apply manual review or additional safeguards. High-risk chunks should be blocked.
Is chunk content uploaded?
No. Analysis runs fully in your browser.
Related Tools
RAG Context Relevance Scorer
Rank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.
Prompt Policy Firewall
Scan prompts for PII, secrets, and injection patterns before sending data to AI models.
Claim Evidence Matrix
Map answer claims to source evidence and score support strength in a verification matrix.
RAG Noise Pruner
Prune noisy and redundant RAG chunks with relevance and duplication heuristics.
Workflow Links
Suggested step-by-step tools based on this page intent.
Before This Tool
RAG Context Relevance ScorerRank retrieval chunks for a query with overlap, phrase hits, and redundancy penalties.JSON Output RepairerRepair malformed AI JSON outputs and recover parser-safe structured data.Prompt A/B Test MatrixGenerate deterministic prompt variant matrices across tone, length, and output format.
Next Step Tools
RAG Noise PrunerPrune noisy and redundant RAG chunks with relevance and duplication heuristics.Hallucination Risk ChecklistEstimate hallucination risk from prompt/context quality and suggest guardrail mitigations.RAG Chunking SimulatorSimulate chunk size and overlap settings to tune retrieval-ready document chunking.