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@@ -5,7 +5,7 @@ description: 'Automate embedding generation and updates in Postgres'
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sidebar_label: 'Automatic embeddings'
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---
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Vector embeddings enable powerful [semantic search](/docs/guides/ai/semantic-search) capabilities in Postgres, but managing them alongside your content has traditionally been complex. This guide demonstrates how to automate embedding generation and updates using Supabase [Edge Functions](/docs/guides/functions), [pgmq](/docs/guides/database/extensions/pgmq), [pg_net](/docs/guides/database/extensions/pg_net), and [pg_cron](/docs/guides/cron).
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Vector embeddings enable powerful [semantic search](/docs/guides/ai/semantic-search) capabilities for Postgres, but managing them alongside your content has traditionally been complex. This guide demonstrates how to automate embedding generation and updates using Supabase [Edge Functions](/docs/guides/functions), [pgmq](/docs/guides/database/extensions/pgmq), [pg_net](/docs/guides/database/extensions/pg_net), and [pg_cron](/docs/guides/cron).
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## Understanding the challenge
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