TypeSafe classifies RAG passages with probability thresholds to fight noise and prompt injection
marlene_zw · x · 2026-09-23
TypeSafe AI docs show adding a classification stage between RAG retrieval and generation: one request asks four questions per query-passage pair (relevant? contains an answer? contradicts assumptions? instructing the model?), returning probabilities used for branching — e.g. drop if P(relevant)<0.45, keep if P(has answer)>0.55. Evidence and conflicts are passed in separate blocks. A full demo over an 81-passage corpus with cosine top-12 retrieval flags planted prompt injections and false-premise questions. The poster is trying it for compaction in the copilot SDK.
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