some-assembly-required VS qdrant

See also:

"Some Assembly Required: An approachable introduction to assembly" - https://github.com/hackclub/some-assembly-required

https://news.ycombinator.com/item?id=31909183 (587 points | 4 months ago | 125 comments)

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]

We do this by creating open-source projects which serve the community like a transparent “bank” for nonprofits, a game console you can only get by building a game for it, a guide to assembly language, a cross-country hackathon on a train. Hack Club supports and grows our community by facilitating wholesome social spaces online and in-person.

A recent YC article mentioned this [site] (https://github.com/hackclub/some-assembly-required/)

Some Assembly Required An approachable introduction to assembly that can be read in 30 minutes if you skip code examples. Although it's probably interesting to take a bit more time to try to read them and understand the details.

Some Assembly Required: An approachable introduction to assembly\ (119 comments)

Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.

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.