/
index.ts
48 lines (38 loc) · 1.48 KB
/
index.ts
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/// <reference types="https://esm.sh/@supabase/functions-js/src/edge-runtime.d.ts" />
import { createClient } from "npm:@supabase/supabase-js@2.42.0";
import { Database } from "../_shared/database.types.ts";
const supabase = createClient<Database>(
Deno.env.get("SUPABASE_URL")!,
Deno.env.get("SUPABASE_SERVICE_ROLE_KEY")!,
);
const model = new Supabase.ai.Session("gte-small");
Deno.serve(async (req) => {
const { search } = await req.json();
if (!search) return new Response("Please provide a search param!");
// Generate embedding for search term.
const embedding = await model.run(search, {
mean_pool: true,
normalize: true,
});
// Query embeddings.
const { data: result, error } = await supabase
.rpc("query_embeddings", {
embedding: JSON.stringify(embedding),
match_threshold: 0.8,
})
.select("content")
.limit(3);
if (error) {
return Response.json(error);
}
return Response.json({ search, result });
});
/* To invoke locally:
1. Run `supabase start` (see: https://supabase.com/docs/reference/cli/supabase-start)
2. Run `supabase functions serve`
3. Make an HTTP request:
curl -i --location --request POST 'http://127.0.0.1:54321/functions/v1/search' \
--header 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZS1kZW1vIiwicm9sZSI6ImFub24iLCJleHAiOjE5ODM4MTI5OTZ9.CRXP1A7WOeoJeXxjNni43kdQwgnWNReilDMblYTn_I0' \
--header 'Content-Type: application/json' \
--data '{"search":"vehicles"}'
*/