Supabase
supabase.com › home › blog › postgres.new: in-browser postgres with an ai interface
postgres.new: In-browser Postgres with an AI interface
August 12, 2024 - Introducing database.build (formerly postgres.new), the in-browser Postgres sandbox with AI assistance.
PostgresAI
postgres.ai
PostgresAI – Scale your Postgres. Not your team. | PostgresAI
PostgresAI detects and predicts hard issues – LWLock:LockManager contention, MultiXact exhaustion, XID wraparound – helping you avoid disastrous consequences · Monitoring designed for deep visibility, AI workflows, and a high degree of automation – supporting both detailed investigation and hands-off operations
Postgres.new: In-browser Postgres with an AI interface
This is a new service that we're experimenting with that uses PGLite[0], a WASM build of Postgres that runs in the browser. You might remember an earlier WASM build[1] that was around ~30MB. The Electric team [2] have gone one step further and created a complete build of Postgres that’s under 3MB More on news.ycombinator.com
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August 17, 2024How I Used PostgreSQL and AI to Stop the Endless Data Requests from PMs
Nope. By using the Service, you grant Sequel a non-exclusive, worldwide, royalty-free license to use, reproduce, modify, and display your content solely for the purpose of providing and improving the Service. More on reddit.com
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October 26, 2024Videos
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Using PostgreSQL to power your AI applications - YouTube
01:08:06
Build advanced AI Agents with PostgreSQL - YouTube
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From Queries to Agents: The Next Era of Data Retrieval on PostgreSQL ...
Call AI models directly using AI functions. #PostgreSQL ...
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I gave AI full control over my database (postgres.new) - YouTube
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How to Build an AI Agent for Data Analysis with PostgreSQL | EDB ...
Microsoft Azure
azure.microsoft.com › blog home › ai + machine learning › postgresql on azure supercharged for ai
PostgreSQL on Azure supercharged for AI | Microsoft Azure Blog
March 6, 2026 - New AI applications require databases that are not only reliable, extensible, and secure, but also AI-ready. In parallel, the way developers build software is being reshaped by AI.
TigerData
tigerdata.com › blog › making-postgresql-a-better-ai-database
Making PostgreSQL a Better AI Database | Tiger Data
December 9, 2025 - Today, we’re proud to add two new open-source extensions, both licensed under the · Open Source PostgreSQL License, to further enrich the Postgres ecosystem and make Postgres the de facto database for building AI applications, removing the need for developers to use a standalone vector database in their AI data stack.
GitHub
github.com › supabase-community › database-build
GitHub - supabase-community/database-build: In-browser Postgres sandbox with AI assistance (formerly postgres.new) · GitHub
In-browser Postgres sandbox with AI assistance (formerly postgres.new) - supabase-community/database-build
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PostgreSQL
postgresql.org › about › news › pg_ai_query-ai-powered-sql-generation-query-analysis-for-postgresql-3175
PostgreSQL: pg_ai_query — AI-powered SQL generation & query analysis for PostgreSQL
November 23, 2025 - June 4, 2026: PostgreSQL 19 Beta 1 Released! ... I am excited to announce the release of pg_ai_query — a PostgreSQL extension that brings AI-powered query development directly into Postgres.
GitHub
github.com › postgres-ai
PostgresAI · GitHub
We build Self-Driving Postgres and help fast-growing startups scale their databases, workloads, and related operations - PostgresAI
Hacker News
news.ycombinator.com › item
Postgres.new: In-browser Postgres with an AI interface | Hacker News
August 17, 2024 - This is a new service that we're experimenting with that uses PGLite[0], a WASM build of Postgres that runs in the browser. You might remember an earlier WASM build[1] that was around ~30MB. The Electric team [2] have gone one step further and created a complete build of Postgres that’s under 3MB
EnterpriseDB
enterprisedb.com › products › edb-postgres-ai
EDB Postgres AI: Transforming Data Management & AI for Enterprises
With EDB PG AI, Postgres becomes AI-native, so that models and agents run inside the database, right next to your data. Vector search, in-database inference, and MCP integration for the agent tools your developers already use.
Database
database.build
Postgres Sandbox
In-browser Postgres sandbox with AI assistance
Pondhouse Data
pondhouse-data.com › blog › ai-directly-from-your-database
Using AI directly from your database - with PostgreSQL and pgai
June 14, 2024 - Imagine being able to perform advanced text analysis, sentiment classification, and embedding creation within your PostgreSQL queries. pgai makes this a reality, empowering database administrators and developers to build intelligent, responsive applications without leaving the familiar confines of their database environment. In this guide, we will introduce the extension and demonstrate how one can use use AI directly from a PostgreSQL database, with only needing SQL.
GitHub
github.com › postgres-ai › postgresai
GitHub - postgres-ai/postgresai: postgresai – Postgres observability built for humans and AI agents
It does not change PGAI_TAG, so set the new image tag yourself first — otherwise mon update just re-pulls and restarts the old version: # In your monitoring directory (typically ~/.postgres_ai/), edit .env and set # PGAI_TAG to the version you are upgrading to (it should match your new CLI # version), e.g.
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PostgresML
postgresml.org
PostgresML | You know Postgres. Now you know machine learning – PostgresML
Build AI apps in minutes with a GPU-powered Postgres database
Reddit
reddit.com › r/postgresql › how i used postgresql and ai to stop the endless data requests from pms
r/PostgreSQL on Reddit: How I Used PostgreSQL and AI to Stop the Endless Data Requests from PMs
October 26, 2024 -
A while ago, I asked this community about preferred editors for working with PostgreSQL, and the overwhelming feedback was incredibly helpful. Thank you all for your insights! It led to a project that I’m excited to share with you.
It all started with a problem many of you might be familiar with: constant data requests from PMs and non-technical teams. My team came to me saying, "The PMs are driving us crazy with these endless requests. Can you build something to automate this?" Despite having built over 10+ no-code interfaces for them, we were still bombarded with SQL queries for one-off reports and follow-up requests.
I knew there had to be a better way. I came across a few inspiring blog posts from engineering teams at companies like Uber, Pinterest, and Swiggy. They built internal text-to-SQL interfaces to let their non-tech teams query data directly using natural language. That gave me the idea to build a similar tool for our team, powered by PostgreSQL under the hood, with strict access controls (configured right at the db user level).
After rolling it out, the results were amazing. Requests from non-tech teams nearly disappeared, and the tool was a huge hit with them! It opened up so many possibilities across product, marketing, and revenue operations teams. They could now ask their own questions and get instant data insights without waiting for devs to write queries.
The response has been fantastic since I made the tool public a month ago. Quite a lot of folks started signing up within a day, and the use cases I’m seeing are super diverse—from product insights to marketing campaigns and more. The best part? It’s all powered by PostgreSQL and PG Vector, and the flexibility it offers has been key to scaling this tool.
Would love to get some feedback and suggestions on what tools your team currently use to help non-technical team with data requests, reports and insights.
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You’re gonna automate yourself out of a job! /s Nice work, this looks cool!
Medium
medium.com › genusoftechnology › building-an-ai-agent-from-scratch-with-openai-and-postgres-a-complete-guide-7e50cfd8a58e
Building an AI Agent from Scratch with OpenAI and Postgres: A Complete Guide | by rajni singh | GenusofTechnology | Medium
May 2, 2025 - Before we dive into implementation, let’s understand the core components of our AI agent system: OpenAI API: Provides the natural language processing capabilities · PostgreSQL Database: Stores conversation history, agent knowledge, and application data · Backend Server: Handles business logic and coordinates between components · Frontend Interface: Optional user interface for interaction (not covered in depth here) ... First, let’s create a clean working environment and install the necessary packages. # Create a new directory for your project mkdir ai-agent-project cd ai-agent-project # Create a virtual environment python -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate # Install required packages pip install openai psycopg2 python-dotenv
Medium
medium.com › @richardhightower › building-ai-powered-search-and-rag-with-postgresql-and-vector-embeddings-09af314dc2ff
Building AI-Powered Search and RAG with PostgreSQL and Vector Embeddings | by Rick Hightower | Medium
May 5, 2025 - The pgvector extension changes that by bringing vector operations directly into PostgreSQL. ... This means you can build AI-powered search and recommendation features right inside your existing PostgreSQL database — using tools and SQL you ...
OVHcloud Blog
blog.ovhcloud.com › home › postgresql and ai: the pragmatic path to smarter data
PostgreSQL and AI: The pragmatic path to smarter data - OVHcloud Blog
December 11, 2025 - In other words, PostgreSQL becomes not just your source of truth, but also your foundation for AI experimentation and delivery. ... Simplified architecture: Keep data in one place. No ETL pipelines or synchronisation risks. Familiar SQL workflow: Run similarity searches directly in SQL, with ACID guarantees intact. Faster time to value: Build and iterate AI use cases faster, without learning a new ...
Neon
neon.com › ai
Postgres and backend platform for AI — Neon
Purpose-built for AI devtools, Neon MCP lets agents manage data workflows from provisioning to tuning.Get started · Neon makes Postgres a powerful vector store, perfect for RAG apps that crave simplicity.Start building