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/static/static.module.ts

@@ -49,6 +49,10 @@ export class StaticModule implements OnModuleInit {
           : undefined,
         POSTHOG_HOST: this.environmentService.getPostHogHost(),
         POSTHOG_KEY: this.environmentService.getPostHogKey(),
+        AI_VECTOR_DRIVER:
+          this.environmentService.getAiVectorDriver() === 'turbopuffer'
+            ? 'turbopuffer'
+            : undefined,
       };
 
       const windowScriptContent = `<script>window.CONFIG=${JSON.stringify(configString)};</script>`;