Skip to content

GoldenMatch

vgoldenmatch-embed-v0.1.0 scope: goldenmatch-embed Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo Data Pipelines & ETL
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ 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

Initial release of goldenmatch-embed: a pyo3/maturin wheel wrapping the goldenembed-rs ONNX embedding runtime.

Changes in this release

Feature Low

Adds goldenmatch-embed pyo3/maturin wheel over goldenembed-rs ONNX runtime.

Adds goldenmatch-embed pyo3/maturin wheel over goldenembed-rs ONNX runtime.

Source: llm_adapter@2026-06-05

Confidence: high

Feature Low

Integrates goldenmatch_embed_local UDF into DuckDB for local embedding.

Integrates goldenmatch_embed_local UDF into DuckDB for local embedding.

Source: granite4.1:30b@2026-06-05-audit

Confidence: low

Full changelog

Initial release of goldenmatch-embed: a thin pyo3/maturin wheel over the pyo3-free goldenembed-rs ONNX embedding runtime.

Used by the DuckDB goldenmatch_embed_local UDF (pip install goldenmatch-duckdb[embed]) so the warehouse embed path runs the same goldenembed-rs kernel as Postgres and DataFusion, with no network and no torch. Part of issue #509.

GoldenEmbed.load(model_dir).embed([text]) -> list of float32 vectors.

Weekly OSS security release digest.

The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.

No spam, unsubscribe anytime.

Share this release

Track GoldenMatch

Get notified when new releases ship.

Sign up free

About GoldenMatch

All releases →

Related context

Related tools

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.

Beta — feedback welcome: [email protected]