Lo stack completo della mia app AI: LLM, framework e architettura

Hi friends, last week I finally launched my Pensarium app. Here it is, an AI-powered journaling app . Today, however, I want to tell you how I built the app, so let's talk about the stack I put together and all the choices I made, especially which languages, what the entire infrastructure costs, and I'd like to get there, however, by also reviewing

all the experiments I've done. I 've told you a lot about it here on the channel, and it was really very, very instructive for me, especially in the area of AI integration in an application, but also various frameworks, local DBs, very, very interesting things. So today I'm telling you, as always, if you want to

support me, if you want to follow me, subscribe to the channel, but above all let me know in the comments what you use. If you know something about this, have an idea, a bold opinion, whatever, that's fine, so we can share it as always. But let's start a little bit . So, this is already the

final scheme and so we will talk a lot about this scheme later. I would like to take a step back because here I have recovered various diagrams made in recent months, in other videos. So, for those who don't know, Pensarium is a journaling app with artificial intelligence integration . What does this mean? that

I could make this app in a thousand ways. So much so that at the beginning, I actually worked a lot to make a local app on the computer with the markdown files because I started from what I was using which was Obsidian, so files, so well, let's try to put the artificial intelligence

locally, but then I want to synchronize it. So in the many experiments here there are practically readable patterns. This is perhaps the very first scheme in which I based myself on markdown files, so text files in all respects and then I tried to somehow synchronize them on a DB to also have an