GoldenMatch

vgoldenmatch-pg-v0.7.0 scope: goldenmatch-pg Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

Published 1mo Data Pipelines & ETL

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

data-cleaning data-engineering data-matching data-quality deduplication entity-resolution

+14 more

fellegi-sunter fuzzy-matching knowledge-graph llm master-data-management mcp-server polars pprl python record-linkage rust splink typescript zero-config

Summary

AI summary

Added gm_embed(text) returning real[] as a convenience embedder function.

Changes in this release

Type	Severity	Summary	CVE
Feature	Low	Adds gm_embed(text) convenience function returning real[] Adds gm_embed(text) convenience function returning real[] Source: llm_adapter@2026-06-05 Confidence: high	—
Feature	Low	gm_embed outputs float4 for parity with DataFusion goldenmatch_embed UDF gm_embed outputs float4 for parity with DataFusion goldenmatch_embed UDF Source: granite4.1:30b@2026-06-05-audit Confidence: low	—
Bugfix	Medium	gm_embed treats NULL input as empty string instead of STRICT gm_embed treats NULL input as empty string instead of STRICT Source: granite4.1:30b@2026-06-05-audit Confidence: low	—
Refactor	Low	gm_embed loads model once per backend process and caches it gm_embed loads model once per backend process and caches it Source: granite4.1:30b@2026-06-05-audit Confidence: low	—

Full changelog

Postgres extension 0.6.0 -> 0.7.0.

Added:

#737: gm_embed(text) -> real[]. A 1-arg convenience over the in-house embedder, model dir from GOLDENEMBED_MODEL_DIR, loaded once per backend process and cached. float4 output for parity with the DataFusion goldenmatch_embed UDF; NULL -> "" (not STRICT).

Upgrade from 0.6.0: ALTER EXTENSION goldenmatch_pg UPDATE TO '0.7.0';

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Earlier breaking changes

v3.1.0 `GOLDENMATCH_FRAME=polars` now requires the `[polars]` extra; raises error without it.
vgoldencheck-v3.0.0 `inferred_type` emits neutral dtype vocabulary (str/int/uint/float/date/datetime/bool/other) instead of raw Polars dtypes.
vgoldencheck-v3.0.0 'inferred_type' now emits a neutral dtype vocabulary instead of raw Polars dtype strings.
vgoldencheck-v3.0.0 `scan_file`, `scan_dataframe`, and CLI `check` now run without Polars, using Arrow-native pyarrow.Table.
v3.0.0 Result frames now return pyarrow.Table instead of Polars DataFrame.