Stop sending the whole archive.

Build a smaller, cited context packet with a local semantic model. Retrieval narrows evidence; it does not prove truth.

Labeled source archive

55
10
0.45

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AWAITING MODEL384D TARGET
EVIDENCE DECISIONNOT RUN
EST. CONTEXT REDUCTION

Top three semantic matches

NO RANKING YET

Run the bundled question to create a real ranked evidence set.

Four stages. One refusal.

Label sources. Chunk sentences. Embed meaning. Rank evidence. Then refuse when the best match is too weak.

Boundaries matter

Sentence-aware chunks keep ideas intact while overlap gives claims near a boundary another chance to remain visible.

Similarity is a route

MiniLM maps a paraphrased question and each chunk into the same 384-dimensional space. Cosine similarity orders likely relevance.

The gate is part of RAG

A threshold should stop unsupported answering. It needs calibration on your own positive and negative questions.

COMPLETED EVIDENCE PACKET
DECISION
CONTEXT REDUCTION
Run the model to populate this surface.
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