prisma-examples VS benchmark

The usefulness of vector search is already evident by the rate of generative AI adoption. Almost every mainstream documentation site now has an Ask AI button, including Supabase, Netlify, Prisma, and many more.

Prisma

We'll use a simple blogging app as an example through out this article. Our work will be based on the NestJS + Prisma starter project here. You can also create a new project from it with a one liner:

Prisma's docs[0] are one of the best I've read

[0] https://www.prisma.io/docs

Quiero algo de este estilo: https://github.com/prisma/prisma-examples/tree/latest/typescript/graphql-nexus

Prisma is a package that invites new users. It is well-documented and well-suited for your first or 50th Node project. Their documentation contains comprehensive information on the features available. You can also access several guides, including introductory "how-tos," steps for deploying applications that use Prisma, and instructions on migrating from another ORM. The guides are thorough, up-to-date, and easy to follow. In addition, Prisma's team has made sure your experience using their ORM is as painless as possible.

And that's how we can use a Node.js library like Prisma to work with NoSQL and SQL databases. Prisma's documentation page gives further details about this process.

We will follow the documentation to get started with Prisma. You can read and also take a reference to the documentation.

I've used the mikro-orm benchmark repo you can find here: https://github.com/mikro-orm/benchmark and just extended it with prisma2 operations like done with mikro-orm and typeorm in the benchmark repo already.