sprig VS qdrant

Blot is completely open source (hardware and software). You can find the GitHub here: https://github.com/hackclub/blot

I spent the last year building Blot with teenagers in the Hack Club community including but not limited to B (age 19), Henry (15), Kai (17), Shawn (18), Hugo (15), Ella (19) and Bright (15).

At Hack Club we’re working on building a new model for public education through open source projects. We believe people learn best by building things they care about and sharing those things with others. We want to support motivated teenagers around the world to pursue technology this way. That’s why we created the “You Ship, We Ship” model. We build online creative coding environments that are gateways to other subjects in technology. When teenagers create projects with our tools and share them publicly we send them more creative material. At the end of 2022 we released our first “You Ship, We Ship” project: Sprig.

Sprig is a microworld for making tile games, when you share your game we send you the hardware to build a handheld gaming console that can play that game. https://github.com/hackclub/sprig

Today we are releasing our newest “You Ship, We Ship”: Blot. Create a program that generates line art and we’ll send you a robot that can draw that art in real life. We hope Blot will encourage people to explore the beauty of programming and be a gateway to digital fabrication. Nothing feels more magic to me than writing an incantation on a computer that can materialize into a real thing that you can hold in your hands. I hope to share that magic with you through Blot.

Everything is free and open source so anyone is welcome to use the editor, submit to the gallery, or build a Blot machine. You have to be a teenager for us to send you a machine for free though.

I’m excited to see what people make! Enjoy.

If you want to learn more about Hack Club you can check out this short documentary we made about our 2023 summer hackathon: https://www.youtube.com/watch?v=O1s5HqSqKi0

It appears the project hasn't optimized for production (yet?). For now, I can't help but think it may be possible to cobble together a Sprig using inexpensive Pi Pico HATs and 3D printing. Here's the schematic:

https://github.com/hackclub/sprig/blob/main/docs/GROWING_A_S...

Hack Club | Full-time, Part-time or Contract | ONSITE | Vermont, US | https://hackclub.com

Hello friends,

I come from the game dev world where I led the team on the Crash Bandicoot reboot trilogy and helped ship two of the Destiny 2 expansions. I’m now building out a team here at Hack Club that will make inspiring technical and creative projects with and for thousands of the most technical teenagers you’ll probably ever meet.

In the past 3 months, we’ve shipped an open source game console ( https://github.com/hackclub/sprig ) that you can only get by building a game for it, a guide to assembly language that’s now the 4th most popular GitHub repo written in assembly ( https://github.com/hackclub/some-assembly-required ), and a teaser for a game we're producing about love and graphing (https://hack.af/sr ).

For this role, I’m looking for a technical partner-in-crime with a few notches in your belt.

JOB DESCRIP/APPLY: https://hiring.hackclub.com/26020 or email [email protected]

In the past 3 months, we’ve shipped an open source game console that you can only get by building a game for it, a guide to assembly language that’s now the 4th most popular GitHub repo written in assembly, and a teaser for a game about love and graphing.

I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours.

I'm currently looking to implement locally, using QDrant [1] for instance.

I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].

[1]. https://qdrant.tech/

Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...

There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb

For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!

Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.

Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.

Qdrant serves as a vector database, optimized for handling high-dimensional data typically found in AI and ML applications. It's designed for efficient storage and retrieval of vectors, making it an ideal solution for managing the data produced and consumed by AI models like Mistral 7B. In our setup, Qdrant handles the storage of vectors generated by the language model, facilitating quick and accurate retrievals.