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feat(ee): turbopuffer ai vector search driver (#2402)
* feat(ai): add AI_VECTOR_DRIVER and turbopuffer configuration * feat(ai): carry workspace and target space ids on vector lifecycle events * feat(ai): add vector driver interface and turbopuffer request helpers * feat(ai): add pgvector driver behind the vector driver interface * refactor(ai): route vector reads and writes through the vector driver * feat(ai): add turbopuffer vector driver * feat(ai): rebuild turbopuffer namespaces when the embedding model changes * feat(ai): warm the vector namespace cache on session start * fix(ai): harden turbopuffer misconfiguration and reset failure paths * fix(ai): collapse blank-line runs in extracted page text * fix(ai): skip full re-embed when ai search is re-enabled within the delete grace window * sync * fix(ai): store real embedding dimensions instead of serialized vector length * fix(ai): filter search hits by the page's current space at query time * fix(ai): retry the page moved-to-space vector patch job * sync * feat(ai): pre-warm the vector namespace * fix(ai): pass AI_VECTOR_DRIVER through the client build config
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@@ -496,10 +496,21 @@ export class PageService {
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},
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);
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await this.aiQueue.add(QueueJob.PAGE_MOVED_TO_SPACE, {
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pageIds: pageIdsToMove,
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workspaceId: rootPage.workspaceId,
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});
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await this.aiQueue.add(
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QueueJob.PAGE_MOVED_TO_SPACE,
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{
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pageIds: pageIdsToMove,
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spaceId,
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workspaceId: rootPage.workspaceId,
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},
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{
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attempts: 2,
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backoff: {
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type: 'fixed',
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delay: 2 * 60 * 1000,
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},
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},
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);
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}
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});
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