reframe VS pyroscope-rs

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

A general purpose profiler: https://github.com/pyroscope-io/pyroscope-rs

If someone is interested in this space, feel free to reach me!

I feel some of the OP points. I was working on a profiling agent lately, and one of the issues was running it on multiple platforms (just the four big ones linux/mac-x86/arm) on FFI (because it'll be run directly from python/ruby/etc...) and preferably having the thing just work without having to install or configure any dependencies.

Like OP I hit two walls: libunwind, and linking. For libunwind, I ended up downloading/compiling manually; and for linking there is auditwheel[1]. Although it is a Python tool, I did actually end up using for Ruby (by creating a "fake python package", and then copying the linked dependencies).

It was at that time that I learned about linking for dynamic libraries, patchelf and there is really no single/established tool to do this. I thought there should be something but most people seem to install the dependencies with any certain software. I also found, the hard way, that you still have to deal with gcc/c when working with Rust. It does isolate you from many stuff, but for many things there is no work around.

There is a performance hit to this strategy, however, since shared dynamic libraries will be used by all the running programs that need them; whereas my solution will run its own instance. It made me wonder if wasm will come up with something similar without affecting portability.

Finally, the project is open source and you can browse the code here: https://github.com/pyroscope-io/pyroscope-rs

[1]: https://github.com/pypa/auditwheel

Version 0.5 is now live!: https://github.com/pyroscope-io/pyroscope-rs

Working on https://github.com/pyroscope-io/pyroscope-rs A profiling solution for Rust and other languages.

Thanks to the maintainers at pprof-rs for helping us figure out how we can modify their profiler to create our rust agent (https://github.com/pyroscope-io/pyroscope-rs).