Add RAG-0001 synthetic poisoning regression fixture - #58
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Adds RAG-0001.json for ingestion and retrieval integrity testing. Signed-off-by: Subhash Dasyam <subhashdasyam@users.noreply.github.com>
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Pull request overview
Adds a first, fully synthetic “poisoned document” fixture (RAG-0001) to the RAG poisoning & retrieval integrity dataset, intended to support regression testing of ingestion quarantine, authorized retrieval filtering, and instruction-resilience behavior in RAG pipelines.
Changes:
- Adds a new dataset entry (
RAG-0001) describing a two-stage synthetic poisoning scenario targeting a return-policy query. - Includes secure vs. vulnerable expected outcomes plus evaluation flags/canary strings and supporting reference links.
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Summary
Adds the first synthetic entry to the RAG poisoning and retrieval integrity dataset.
RAG-0001is a safe two-stage test for:The scenario uses invented policy data, invokes no tools, includes no real identifiers, and requests no external action. The entry follows the repository's current
rag.schema.jsonand one-entry-per-file rule.I developed the test while updating a detailed practitioner guide to RAG poisoning controls and negative tests: https://www.subhashdasyam.com/2024/09/vector-venom-vector-injection-how-ai.html
Primary research and guidance are included in the entry metadata.
DSGAI mapping
Validation
data_validation/schemas/rag.schema.jsonpassesChecklist