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lcsh-db-ft — LCSH authority DB embedded with fine-tuned EmbeddingGemma
lcsh.db — a SQLite + sqlite-vec
database of Library of Congress authorities, with the LCSH + LCGFT vector
index built from the LCSH-fine-tuned EmbeddingGemma-300M (256-d). The
companion to the embedder kltng/embeddinggemma-300m-lcsh-onnx;
intended for an on-device / Chrome-extension subject-cataloging workflow.
Parallel to the stock-embedded kltng/lcsh-db; only the auth_embeddings
vectors differ (fine-tuned instead of stock EmbeddingGemma).
Contents
| Table | Rows | Notes |
|---|---|---|
auth |
LCSH 512,644 · LCGFT 2,637 · LCNAF 12,255,750 | authority records |
alt_label |
— | UF / variant labels |
auth_embeddings (vec0) |
916,142 | LCSH+LCGFT labels + alt-labels, 256-d float32 |
auth_fts, alt_label_fts |
— | FTS5 for exact/fuzzy string lookup |
db_meta.embedding_model = kltng/embeddinggemma-300m-lcsh-onnx. LCNAF names are
present for exact/FTS lookup but not embedded (same policy as the stock db).
Query (must use the matching embedder)
Embed the query with kltng/embeddinggemma-300m-lcsh-onnx, truncate to 256-d,
L2-normalize, then KNN:
SELECT auth_id, distance FROM auth_embeddings WHERE embedding MATCH :qvec AND k = 10;
-- then join auth_id -> auth.label
Use fp16 for the closest parity to the build vectors (cos ≈ 0.999); q8 (smallest, what these vectors were spot-checked against) is also fine (cos ≈ 0.97).
License
Vectors derived from google/embeddinggemma-300m — Gemma Terms of Use.
LCSH/LCGFT/LCNAF authority data is from the Library of Congress (public domain).
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