Basic structure for the overview page

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Copple committed 2023-05-24 14:03:56 -07:00
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commit fd99fa16b0
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@@ -4,20 +4,51 @@ export const meta = {
id: 'ai',
title: 'AI & Vectors',
description: 'Use Supabase to store and search embedding vectors.',
subtitle: 'Use Supabase to store and search embedding vectors.',
sidebar_label: 'Overview',
video: 'https://www.youtube.com/v/J9mTPY8rIXE',
}
Supabase AI & Vectors makes it simple to store and search embeding vectors.
Supabase provides a number of tools to get started with Vectors and Embeddings. These tools include:
## TBD
- An embedding store using the popular [pgvector](https://github.com/pgvector/pgvector/)
- A Python Library for managing collections called [Vecs](https://supabase.github.io/vecs)
TBD
## Examples
## See also
Check out all of the AI [templates and examples](https://github.com/supabase/supabase/tree/master/examples/ai) in our GitHub repository.
- TBD
<div className="grid md:grid-cols-12 gap-4 not-prose">
{examples.map((x) => (
<div className="col-span-4" key={x.href}>
<Link href={x.href} passHref>
<a>
<GlassPanel icon={'/docs/img/icons/github-icon'} hasLightIcon={true} title={x.name}>
{x.description}
</GlassPanel>
</a>
</Link>
</div>
))}
</div>
export const Page = ({ children }) => <Layout meta={meta} children={children} />
export const examples = [
{
name: 'With supabase-js',
description: 'Use the Supabase client inside your Edge Function.',
href: '/guides/functions/auth',
},
{
name: 'Type-Safe SQL with Kysely',
description: 'Combining Kysely with Deno Postgres',
href: '/guides/functions/kysely-postgres',
},
{
name: 'With CORS headers',
description: 'Send CORS headers for invoking from the browser.',
href: '/guides/functions/cors',
},
]
export const Page = ({ children }) => <Layout meta={meta} children={children} hideToc={true} />
export default Page