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

apps/server/src/integrations/queue/constants/queue.constants.ts

@@ -61,6 +61,7 @@ export enum QueueJob {
   WORKSPACE_DELETED = 'workspace-deleted',
   WORKSPACE_CREATE_EMBEDDINGS = 'workspace-create-embeddings',
   WORKSPACE_DELETE_EMBEDDINGS = 'workspace-delete-embeddings',
+  WORKSPACE_RESET_EMBEDDINGS = 'workspace-reset-embeddings',
 
   GENERATE_PAGE_EMBEDDINGS = 'generate-page-embeddings',
   DELETE_PAGE_EMBEDDINGS = 'delete-page-embeddings',