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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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@@ -16,6 +16,7 @@ export default defineConfig(({ mode }) => {
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BILLING_TRIAL_DAYS,
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POSTHOG_HOST,
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POSTHOG_KEY,
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AI_VECTOR_DRIVER,
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} = loadEnv(mode, envPath, "");
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return {
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@@ -31,6 +32,7 @@ export default defineConfig(({ mode }) => {
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BILLING_TRIAL_DAYS,
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POSTHOG_HOST,
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POSTHOG_KEY,
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AI_VECTOR_DRIVER,
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},
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APP_VERSION: JSON.stringify(process.env.npm_package_version),
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},
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