Release 2.11.0: fast bulk doc-training#78
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July 17, 2026 10:52
Version bump + CHANGELOG + README for the 2.11.0 release: batched doc-trainer DB writes (add_synapses_batch, increment_keyword_df UPSERT, _persist_synapses), inline brain_id in find_neurons (IndexScan vs TableScan), find_neurons_exact_batch override, tqdm progress. ~10x fewer DB ops/chunk and sub-second-per-chunk on big brains. See CHANGELOG [2.11.0].
Test was hardcoded to 2.10.5; CI failed on the version bump.
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Version bump + CHANGELOG + README for the 2.11.0 release (carries #76 + #77).
What's in 2.11.0
add_synapses_batch,increment_keyword_dfUPSERT,_persist_synapseshelper (~10× fewer DB ops/chunk).find_neuronsuses the brain_id index —brain_idinlined as a literal (IndexScan vs TableScan); root cause of per-chunk cost scaling with brain size. Plusfind_neurons_exact_batchoverride.smem_train.See
CHANGELOG.md[2.11.0] for full details.Changes in this PR
pyproject.toml/__init__.py:2.10.5→2.11.0CHANGELOG.md: new [2.11.0] sectionREADME.md: Knowledge Ingestion bullet on fast bulk trainingTest plan
v2.11.0+gh release create(main is protected)Verified by
@acidkill