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v0.24.03

supabase/supabase

版本发布时间: 2024-04-06 09:28:55

supabase/supabase最新发布版本:1.24.08(2024-09-17 03:37:55)

Join us for a Special Announcement April 15-19

Special Announcement April 15-19

We’re making a Special Announcement on April 15th with a few more surprises throughout the week. Claim your ticket today so you don’t miss out and enter for a chance to win a set of AirPods Max.

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Increased Supavisor connection pooler limits

Increased Supavisor connection pooler limits

We’ve increased the Supavisor client connection limits, the number of concurrent clients that can connect to your project’s pooler, for projects on Small, Medium, Large, and XL compute instances while pricing remains unchanged.

Announcement

Conversational AI assistant now available in SQL Editor

Conversational AI assistant in SQL Editor

Introducing a conversational AI assistant in the SQL Editor to help you write and iterate on your queries. This is currently under a feature preview and can be enabled with instructions here.

Announcement

Supavisor pooler port 6543 is transaction-mode only

Supavisor pooler port 6543 is transaction-mode only

We’re simplifying Supavisor connection pooler ports and modes so that port 6543 is only transaction mode and port 5432 continues to be only session mode. If you have pool mode set to session we recommend you switch to pooler port 5432 and set the mode to transaction.

Pull request

Migration to v2 platform architecture

v2 platform architecture migration

You may have noticed improved performance from your database over the last couple of weeks. We made some architectural changes to free up resources for your Postgres instance by removing Storage, Realtime, and Pgbouncer from your instance and each are replaced with an equivalent multi-tenant solution, including our new Supavisor connection pooler.

Announcement

Implementing semantic image search with Amazon Bedrock and Supabase Vector

Semantic image search with Amazon Bedrock and Supabase Vector

In this post we'll be creating a Python project to implement semantic image search featuring Amazon Bedrock and Amazon Titan’s multimodal model to embed images and Supabase Vecs client library for managing embeddings in your Supabase database with the pgvector extension.

Blog post

Quick Product Announcements

Made With Supabase

Community Highlights

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