reframe VS skeleton

NNext.ai » Software Engineer » Python » Full-time » NY, NY, USA » Remote

At [NNext.ai](http://NNext.ai) (read “Next.ai”), we are building building core infrastructure to simplify the process of building, deploying, and managing LLM-powered AI agents on tabular data, making it the most efficient solution available. NNext AI enables users to combine the power of Large Language Models (LLMs) like GPT with tools like the browser and Google Search, greatly increasing your productivity on workflows you once spent countless hours on. We are building a framework specialized for tabular data such as Spread sheets, Database Tables and CSVs, thereby taking advantage of the similarities and co-dependencies amongst data.

We are lean team of engineers looking for our first full time OSS contributor. Desirable experience includes distributed systems working with tools like Celery, Dash and Redis Streams. Visibility on Github is a huge plus. Show us previous OSS software you’ve contributed to or public personal projects with significant usage.

Website: https://nnext.ai

Github: https://github.com/nnextai/aigent

Email: [email protected]

https://github.com/nnextdb/nnext/blob/main/FAQs.md Q: How does this differ from Faiss, ScaNN and Annoy?

What’s NNext? [Say “Next”] NNextDB is a blazingly fast ⚡️, open-source 📖, (vector) neural search 🔎 engine for building delightful AI Apps 🦾. Github: https://github.com/nnextdb/nnext Like what you see? Please give us a Star 🤩. Applications Vector search is a key concept in modern machine learning systems. It’s the technology behind

These things mostly work by having some vision model, chopping it off somewhere in the middle and using that layer as an "embedding" for your image. Then you look for images that have embeddings which are close together (normally in the sense of Euclidean distance, e.g.)

Code Link: https://github.com/nnextdb/nnext

NNextDB - a blazing fast, open source, vector search database for building AP applications.

https://github.com/nnextdb/nnext

I'm a bit bias here, but we've had a lot of support for my UI library called https://skeleton.dev/. We've taken a lot of the doc design and visual queues from them, though we've built with Tailwind/Svelte in mind from the ground up

I just found Skeleton, which are pre-built components using TailwindCSS. https://skeleton.brainandbonesllc.com/

I... might have inspected elements nonstop on https://skeleton.brainandbonesllc.com in order to figure out how your team did it and shamelessly applied it to my site example.

Skeleton looks promising, but you have to buy into Tailwind CSS.

Thanks! Even though the site is useable I'm looking into Skeleton (Tailwindcss Component Library that's good looking and quick/easy. In beta.) https://skeleton.brainandbonesllc.com/

You might check out Skeleton (full disclosure, I'm one of the creators)

https://skeleton.brainandbonesllc.com/

When my partner and I were getting started with Svelte we noticed there was plenty of wrapper libraries, but very few that lean into the benefits of Svelte specifically. We wanted something like Mantine from the React world.

We're still early days (we've open source and public for about a month) but the feedback has been really positive. The one thing to note is we pair heavily with Tailwind, so if that's not your jam the library may not be for you. However for any sizable app where you're building a design system, we find it extremally helpful and productive.

Hopefully you can give it a try and it helps out! My username on our Discord is endigo9740 if you need any help!