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supabase/examples/ai/edge-functions/README.md
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Chris Chinchilla d8bd6b047c docs: Examples Key changes (#45170)
## I have read the
[CONTRIBUTING.md](https://github.com/supabase/supabase/blob/master/CONTRIBUTING.md)
file.

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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Documentation**
* Updated examples and guides to use Supabase publishable (client) keys
instead of anon keys for client-side usage across frameworks and
platforms.
* Renamed environment variable examples and .env templates to reflect
publishable key naming.
* Adjusted sample requests and client-init examples to send/use the
publishable key via the apikey header where applicable.
* Updated references from service_role to secret for server-side
credential guidance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: fadymak <fady@fadymak.com>
2026-05-04 12:58:16 +02:00

1.9 KiB

AI Inference in Supabase Edge Functions

Since Supabase Edge Runtime v1.36.0 you can run the gte-small model natively within Supabase Edge Functions without any external dependencies! This allows you to easily generate text embeddings without calling any external APIs!

Semantic Search with pgvector and Supabase Edge Functions

This demo consists of three parts:

  1. A generate-embedding database webhook edge function which generates embeddings when a content row is added (or updated) in the public.embeddings table.
  2. A query_embeddings Postgres function which allows us to perform similarity search from an egde function via Remote Procedure Call (RPC).
  3. A search edge function which generates the embedding for the search term, performs the similarity search via RPC function call, and returns the result.

Deploy

  • Link your project: supabase link
  • Deploy Edge Functions: supabase functions deploy
  • Update project config to enable webhooks: supabase config push
  • Navigate to the database-webhook migration file and insert your generate-embedding function details.
  • Push up the database schema supabase db push

Run

Run a search via curl POST request:

curl -i --location --request POST 'https://<PROJECT-REF>.supabase.co/functions/v1/search' \
    --header 'apikey: <SUPABASE_PUBLISHABLE_KEY>' \
    --header 'Content-Type: application/json' \
    --data '{"search":"vehicles"}'