putting-the-you-in-cpu
qdrant
putting-the-you-in-cpu | qdrant | |
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9 | 142 | |
4,621 | 18,129 | |
1.4% | 4.3% | |
7.9 | 9.9 | |
2 months ago | 2 days ago | |
MDX | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
putting-the-you-in-cpu
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Tech I am learning in 2024
Thanks to cpu.land , I grew an uncanny interest in how cpu works and got me deep into operating systems from there, it’s fascinating to see the deep down of your computer to the levels of registers and ALUs(arithmetic logical units). Nand2tetris and OSTEP is the greatest resource for starting with operating systems.
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Ask HN: Who is hiring? (February 2024)
OrbStack | Founding Engineer | US/Europe REMOTE | Full-time | https://orbstack.dev
OrbStack is making Docker containers & development environments delightful. Our app replaces Docker Desktop and makes containers faster, lighter, and easier to work with. It's the tool of choice for PlanetScale, Replicate, and other hot companies.
Containers should be a joy to use, not something you have to put up with. Let's build the future of dev envs.
As a founding engineer, you'll mainly work on breaking high-level ideas down into tough systems problems, solving them, and taking ownership of projects. If https://cpu.land and https://docs.orbstack.dev/architecture excite you, you'll be right in place.
Email: jobs orbstack dev
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Show HN: How did YOUR computer reach my server?
Hi! I'm Lexi. I'm 17, and one of the things I'm interested in is gaining a deeper understanding of how computers work and showing that in new ways. A few months ago I published https://cpu.land (discussion: https://news.ycombinator.com/item?id=37062422).
After cpu.land, I felt a lot of pressure to make another Big Giant Thing but didn't really have anything compelling. So I just hacked away on personal projects and, through some coincidental learning on how the Internet works, ended up hacking together a traceroute program that could live stream to a website from scratch!
I realized I had never seen this sort of thing on the web before, and it was actually a kind of cool and novel way of visualizing the structure of the Internet, so I polished it up and built a pretty site around it. In the process, I learned some really interesting things about how BGP and the structure of The Internet, so I melted the traceroute tool with an article sharing that knowledge.
I'm still hacking on this and I'm sure my code will manage to break somehow, so please let me know if you have any suggestions! :)
(Side note: why Rust? I don’t think programming language choice matters that much, but I wanted to quickly write a very dependable low-level program, and I really like Rust’s error handling primitives.
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Websites must Know #1
https://cpu.land/
- Steve Jobs: Fast boot times saves lives
- I wrote this guide to how CPUs execute programs
- I'm 17 and wrote this guide on how CPUs run programs
- Show HN: I'm 17 and wrote this guide on how CPUs run programs
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
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.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
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.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
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/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
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.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
vmlinux-to-elf - A tool to recover a fully analyzable .ELF from a raw kernel, through extracting the kernel symbol table (kallsyms)
Milvus - A cloud-native vector database, storage for next generation AI applications
x86doc - HTML representation of the Intel x86 instructions documentation.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Optimizing-linux - A simple guide for optimizing linux 🐧 in detail
faiss - A library for efficient similarity search and clustering of dense vectors.
mtr - Official repository for mtr, a network diagnostic tool
pgvector - Open-source vector similarity search for Postgres
resemble-enhance - AI powered speech denoising and enhancement
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
coursebook - Open Source Introductory Systems Programming Textbook for the University of Illinois
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.