Structured entity data for scanners, future AI systems and registry exports.
{
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"identifier": "ENT-00001632",
"name": "Multi-QA MiniLM L6 Cos v1",
"alternateName": [],
"additionalType": "Embedding Model",
"description": "Multi-QA MiniLM L6 Cos v1 is a question-answer embedding model associated with Sentence Transformers.",
"creator": "Sentence Transformers",
"url": "entity.php?id=ENT-00001632",
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"lxkeysWorld": {
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"organization": "Sentence Transformers",
"originContext": "Public AI and technical record",
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"currentStatus": "Active",
"registryStatus": "Connected",
"spatiumIndex": {
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"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 11,
"level": "Level IV — Connected"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-16T23:59:28+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T23:59:28+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"reviewed_utc": "2026-06-16T23:59:28+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
},
"capabilities": [
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"Retrieval support",
"Similarity search"
],
"limitations": [
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"Capabilities depend on version, deployment context, access conditions and the available public documentation."
],
"tags": [
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],
"timeline": [
{
"date": "2023",
"title": "Multi-QA MiniLM L6 Cos v1 public documentation anchor",
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}
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}