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/client/src/lib/config.ts

@@ -43,6 +43,10 @@ export function isCloud(): boolean {
   return castToBoolean(getConfigValue("CLOUD"));
 }
 
+export function getAiVectorDriver(): string {
+  return getConfigValue("AI_VECTOR_DRIVER");
+}
+
 export function getAvatarUrl(
   avatarUrl: string,
   type: AvatarIconType = AvatarIconType.AVATAR,