# Live Gemini Production Embedding Run Receipt

Status: `pass`
Created: `2026-06-13T15:03:09Z`
Model: `gemini-embedding-2`
Dimensions: `768`

## Summary

This run invoked the paid Gemini API intentionally for the production semantic
corpus. It stores Gemini vectors separately from deterministic sidecar vectors
and keeps exact cosine as the retrieval source of truth.

## Metrics

- Corpus chunks: `292`
- Existing vectors reused: `0`
- New Gemini vectors written: `292`
- Failed rows: `0`
- Total Gemini vectors now available: `6510`
- Top 1,000 ICP vectors available: `1000`
- Top 500 hardening vectors available: `500`
- Mean vector norm: `1.0`
- Similar/dissimilar cosine gap: `0.190463`

## Quality Gates

- PASS `gate_1_known_pairs_separate`
- PASS `gate_2_non_degenerate_vectors`
- PASS `gate_2_top_1000_and_500_complete`
- PASS `gate_3_cross_asset_vectors_present`
- PASS `gate_4_sensitive_mismatch_audit_ready`
- PASS `gate_5_runtime_retrieval_candidate`

## Runtime Position

`Gemini embeddings are production-eligible retrieval authority with exact-cosine and deterministic fallback preserved.`

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Ali Mehdi Mukadam - co-authored with Codex