PostgresML
You know Postgres, now you know machine learning
PostgresML launched on November 10, 2023 with 106 votes, #617 of 4,332 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
PostgresML is a complete MLops platform in a simple PostgreSQL extension. Build fast, simple and powerful models right inside your database.
Run embeddings, vectors, and open-source LLMs on GPU-backed Postgres. Build RAG and ML apps with SQL or the Python and JavaScript SDKs.
You are running a vector database, an embedding service, LLM APIs, and custom glue code before your app can answer a single user question. Separate stacks mean more incidents, slower responses, longer release cycles, and higher spend on inference and search vendors. Your data crosses several vendors and networks, which makes security reviews, retention rules, and compliance harder to prove. PostgresML keeps vectors, models, and application data in one GPU-backed database so you ship RAG and ML features with fewer moving parts. Run the same Python, JavaScript, or SQL examples against hosted open-source models before you deploy to your own cluster. Pay for the models and compute you use, with…from postgresml.org
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We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
PostgresML, end-to-end machine learning in your favorite db2022 · github.com · ▲15Postgres with GPUs for ML/AI apps. Contribute to postgresml/postgresml development by creating an account on GitHub.
SnapQL – Desktop app to query Postgres with AI2025 · github.com · ▲104SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
Finite State Machines for PostgreSQL2020 · github.com · ▲25Simple SQL finite state machine for Postgres. Contribute to michelp/pgfsm development by creating an account on GitHub.
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