PostgresML
Simplifies RAG and ML apps with Postgres and GPUs, but requires a VPC for more than one node.
At a glance
3.9 out of 5
Scored by Alex after real useOur verdict
PostgresML integrates machine learning into your existing PostgreSQL setup. Best suited for those who need simplicity and want to avoid complex microservices architectures. If you're looking for something simpler, this might not be the best choice.
✓What it does well
✕Where it falls short
Key features
Questions about PostgresML
What does PostgresML do?
PostgresML brings machine learning into an existing PostgreSQL setup, combining vectors, models and data in one GPU-backed database. It is built to simplify RAG and ML apps, and the reviewer sees it as a way to avoid complex microservices architectures. It is available on the web and through an API.
How much does PostgresML cost?
PostgresML has no free tier. The Serverless plan costs $7.50 per query hour, the Dedicated plan costs $0.60 per instance hour, and Enterprise pricing is available on contact. Fine-tuning models costs extra and is not included in the basic plan.
What are the drawbacks of PostgresML?
The reviewer's biggest concern is scalability, because PostgresML requires a VPC deployment for multi-node setups, which adds complexity and cost. There is also no free tier, and fine-tuning is charged on top of the basic plan, so Toolio does not recommend it for organizations with limited budgets.
Which programming languages does PostgresML support?
PostgresML offers open-source SDKs with Python, JavaScript and SQL interfaces. It runs embeddings, vectors and LLMs on GPU-backed Postgres databases and supports running non-cached models such as Meta-Llama in the cloud. Toolio lists developers already familiar with PostgreSQL as its best fit.
How does Toolio score PostgresML?
PostgresML has a Toolio score of 3.9 out of 5, given by Alex on 4 Oct 2026 after real use. The reviewer praises its unified platform, its fast indexing, filtering and ranking of embeddings, and the support of engineers at companies working with bleeding-edge technology.