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fix: support 3072-dimensional knowledge embeddings (#2401)
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
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@@ -18,7 +18,7 @@ from .model_catalog import CloudModelCatalogProvider
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CLOUD_BOOTSTRAP_ENTRY_POINT = 'langbot.cloud_bootstrap'
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REQUIRED_TENANT_ISOLATION_VERSION = 2
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SUPPORTED_PGVECTOR_DIMENSIONS = frozenset({384, 512, 768, 1024, 1536})
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SUPPORTED_PGVECTOR_DIMENSIONS = frozenset({384, 512, 768, 1024, 1536, 3072})
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class CloudBootstrapError(RuntimeError):
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