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/ee/ai/services/ai-search-service.ts

@@ -15,6 +15,14 @@ export interface IAiSearchResponse {
   }>;
 }
 
+export async function hintVectorCache(): Promise<void> {
+  try {
+    await api.post("/ai/vector-cache-hint");
+  } catch {
+    // best-effort cache hint
+  }
+}
+
 export async function aiAnswers(
   params: IPageSearchParams,
   onChunk?: (chunk: { content?: string; sources?: any[] }) => void,