I’ve created a detailed step-by-step visual representation of a RAG (Retrieval-Augmented Generation) system. The diagram illustrates how a document is processed, broken into chunks, embedded into vectors, and used to generate answers through similarity matching and a large language model (LLM).

Let's see how to integrate a smart filtering system into a Next.js application using the Vercel AI SDK. The idea is to allow the user to filter data using a simple description.

This feature, seen in products like Linear or Dub.co, will be implemented in an isolated example that we will detail technically.

Here is my latest side project : Photoshot. An open-source AI avatar generator that uses the Dreambooth model. Is fully open-source (and I run a paid instance as business model).

The tech stack: - Next.js (fully TypeScript), hosted on Vercel - Prisma for ORM (db hosted on DigitalOcean) - Chakra UI for UI components - Replicate for AI model - Stripe for payments

Checkout https://figside.com, it ships your Figma project as a Next.js website right on Vercel

An iOS 14 theme (icons + widgets) inspired by the first Macintosh OS System 1

which browser?

Thanks, we have just setup the sponsorship button ️

Thanks for your feedback! We try to keep the app simple and clean but with strong details and ux

Very cool. One suggestion: turn off the autocomplete on the inputs in Chrome. For example if I place an image, in the properties panel I get a lot of weird suggestions as I focus on various fields

I noticed space values (minW, etc) require a “px” to work, but theme-ui doesn’t require it, and defaults “px”