feat(clients): add Telys connector (on-device, Algenta-powered vector engine)#824
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feat(clients): add Telys connector (on-device, Algenta-powered vector engine)#824angelatgithub wants to merge 1 commit into
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… engine)
Telys accelerates FILTERED search by physical layout: the partition key is stored as a
contiguous slice, so `label == X` reads one block instead of scanning + masking the whole
table. The connector talks to a running `telys serve` (TCP) via the public telys SDK
(server-vs-server), partitioning by the label field so the label-filter case (StrEqual)
maps to Telys's single-key contiguous-partition wedge.
- backend/clients/telys/{telys.py,config.py,cli.py,__init__.py}: VectorDB connector + config + CLI
- registered in backend/clients/__init__.py (DB enum + init/config/case-config) and cli/vectordbbench.py
- frontend/config/styles.py: DB_TO_ICON + COLOR_MAP entries
- pyproject.toml: telys extra (pip install vectordb-bench[telys], telys>=0.1.0b3); README table
- supports NonFilter + StrEqual (label==value); NumGE (range) intentionally not declared;
cosine/IP only (need_normalize_cosine) — L2 datasets are rejected loudly
Validated end-to-end through VDBBench's real CaseRunner against a live telys serve:
Cohere-100K (768-d cosine, label-filter 1%) recall 1.0000, ndcg 1.0000, p99 1.5ms,
4099 qps @ concurrency 8; custom fixtures (unfiltered + label filters) recall 1.000.
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Author
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/assign @XuanYang-cn |
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What
Adds a VectorDBBench client for Telys — an on-device, Algenta-powered vector-execution layer that accelerates filtered search by physical layout: the partition key is a contiguous slice, so
label == Xreads one block instead of scanning + masking the whole table. The connector talks to a runningtelys serve(TCP) via the publictelysSDK, so it's a fair server-vs-server measurement; the label-filter case (StrEqual) maps to Telys's single-key contiguous-partition wedge.Changes
backend/clients/telys/{telys.py,config.py,cli.py,__init__.py}— connector + config + CLIbackend/clients/__init__.py(DB enum +init_cls/config_cls/case_config_cls) andcli/vectordbbench.py; icon/color infrontend/config/styles.pypyproject.toml:telysextra (pip install vectordb-bench[telys],telys>=0.1.0b3); README tableSupported
NonFilter+StrEqual(label==value — the wedge).NumGE(int-range) intentionally not declared (TelysEqis equality, not a range).need_normalize_cosine); L2 datasets are rejected loudly (would otherwise mis-rank).Validation
End-to-end through the real
CaseRunneragainst a livetelys serve:Run
Happy to add a curated-board entry — could you point me at the inclusion process for
zilliz.com/vdbbench-leaderboard?