Supabase Vector

Daren Bruen

Surely looks amazing! Congrats on the launch

11 months ago

Rylan Hyatt

stunning! absolutely love the care you put into the design. design is key to building a great developer experience, and Supabase really nails it. IMHO it's one of the <a href="https://www.producthunt.com/discussions/what-are-the-most-well-designed-open-source-products" target="_blank" rel="nofollow noopener noreferrer">most well-design open-source products</a>, an example of what developer tools should strive to emulate. <a href="https://supabase.com/launch-week" target="_blank" rel="nofollow noopener noreferrer">Launch Week 7</a> was a great example. this launch is just as beautiful. s/o to @marijana_simag, @f_sansalvadore and team for your magic 👏👏

11 months ago

Jaiden Runolfsson

Congrats!

1 year ago

Lamont Strosin

Storing vector embeddings at scale alongside user data can be beneficial for applications that rely on machine learning algorithms, natural language processing, recommendation systems, or any task involving similarity matching or clustering. The fact that Supabase Vector works with any language, stack, or programming environment is advantageous as it allows developers to integrate it seamlessly into their existing tech stacks without any restrictions. This flexibility can save time and effort when implementing AI functionality. The availability of example projects is a helpful resource for developers, especially those who are new to AI or looking for inspiration on how to leverage vector embeddings effectively. These projects can serve as starting points and references for building AI applications using Supabase Vector. The option to start for free on the Supabase cloud provides an accessible entry point for developers to experiment and evaluate the toolkit's capabilities without immediate financial commitments. Overall, Supabase Vector seems to offer a combination of features that can empower developers to leverage vector embeddings and integrate AI functionality into their applications efficiently. It may be worth exploring further and considering for projects that require scalable vector storage and AI capabilities.

1 year ago

Jake Blanda

You guys rock! Great idea. Excited to use this!

1 year ago

Marcelo Prohaska

That's awesome. The pgvector brings true AI power to Postgres communities!

1 year ago

Orrin Batz

Very nice, exactly what I was looking for. @antwilson (The platform as a whole with all the awesome benefits) 👌

1 year ago

Enrico Wiza

Comment Deleted

1 year ago

Malachi Armstrong

This looks promising. I am sending this over to my dev team.

1 year ago

Uriah Mayer

This is huge! I tried it already and it's so easy to get started with!

1 year ago

Duncan Effertz

Congrats @antwilson, @copple and team on the launch! We leverage this toolkit and it's been phenomenal.

1 year ago

Hazel Altenwerth

Fantastic!! A hardy congratulations on the launch!

1 year ago

Esteban Hilpert

Big Congrats Paul &amp; Ant :)

1 year ago

Al Wolf

oImpressive! Would it be okay to include your app in my AI directory? (producthunt.com/products/wikiaitools) &gt;&gt;&gt; Email me your app details and I can also help get your app listed on 100+ AI directories.

1 year ago

Curt Nienow

Awesome! We do a lot of vector search with Postgres, great to see this available on Supabase.

1 year ago