A vector database stores data as vectors (embeddings) and finds items by meaning, not exact match. What it is, how similarity search works, how it differs from a normal database, and why RAG and AI search depend on it. Read more ›
Thanks to MEGA for sponsoring this video\. TechHut viewers get the Pro 2 plan at the Pro 1 price, 10TB for around $10/month Building a proper 3-2-1 backup for my entire homelab, the right way, for the first time\. In part one we build the backup machine from scratch, set up Proxmox Backup Server, get the home lab backing up locally, and push an offsite copy to the cloud with S3 compatible storage\. By the end you'll have a real working backup system, no matter if you run Proxmox VE, Unraid, ... Read more ›
From entities and value objects all the way to Sagas, CQRS, and Event Sourcing, explained with a single running example. Read more ›
A study of the generative design system for the Bengal Classical Music Festival by Shafiq Alam, translating ragas into fragmented three-dimensional arts. The core of the composition relies on a three-... Read more ›
A central pedagogical value evaluated in AI tutor benchmarks is scaffolding: guiding students through graduated steps toward a solution. Alignment and evaluation methods for embedding scaffolding behaviour into chatbots, however, rest on an implicit assumption: that students will take up the scaffolding and engage in the conversation. To examine whether this assumption holds, we introduce an evaluation pipeline around two metrics - Chatbot Scaff... Read more ›
How I combined collaborative filtering and content-based filtering to recommend movies with 63% precision — a step-by-step walkthrough Read more ›
A short learning path from a weekend project: I indexed my personal markdown notes (~800 chunks), tried a few local embedding models, stored the same vectors in four different backends, and wired up simple RAG. Not a production guide — just the basics, with honest results from a corpus small enough to reason about. The idea, without the jargon pile Keyword search looks for shared words. Vector search converts text into a list of numbers (an embedding), treats that list as a point in space, an... Read more ›
An agent skill focused on the small details that make interfaces feel better. Read more ›
I attended my driving lesson\. My instructor said I need to practice turning\. I went to DFA to get the last document that I need\. I went to Manila with my dad and shopped around\. Read more ›
There's nothing more satisfying than having a clean and problem-free boot sequence. Read more ›
Data editing with generative methods typically requires differentiable objectives and gradient-based search. However, these assumptions break down in flow-based settings, where edits are performed through forward and backward integration and often involve non-differentiable or black-box objectives. We introduce residual-space evolutionary optimization, a model-agnostic framework that addresses this gap by combining flow-based generative editing ... Read more ›
There's a moment in almost every RAG project where someone asks the question that decides your next two years of ops work: "Do we actually need a vector database, or can Postgres just do this?" It's a better question than it sounds, because the honest answer isn't "use Pinecone" or "use Postgres." It's "it depends on numbers you probably haven't measured yet": how many vectors, how aggressively you filter, how much you care about the absolute ceiling of queries per second. Most teams pick bas... Read more ›
In the world of modern software, building systems that are fast, flexible, and scalable is more important than ever. If you have ever… Read more ›
The creation of the Logo programming language wasn't merely about coding. It was Papert’s (and the team’s) way of enabling students to 'think about thinking', to visualise and control their ideas tangibly. This marked one of the earliest instances of technology being used as a cognitive partner. Read more ›
I'm a Norwegian calligrapher, typographer, book designer, and freelance type designer with 36 years of professional experience. For 30 years I taught typography and related subjects to graphic design students. My work sits at the intersection of calligraphy and type design, with a particular interest in how historical letterforms inform the typefaces we use today. More about my work: Read more ›
...rapid digital transformation of consumer‑facing businesses as the paramount driver for market expansion. Global e‑commerce sales surpassed US$ 5 trillion in 2023 and are projected to exceed US$ 7 trillion by 2030, creating an unprecedented volume of... Read more ›
> ## Documentation Index > Fetch the complete documentation index at: > Use this file to discover all available pages before exploring further. # Introduction to Chainstack Self-Hosted > Deploy and manage blockchain nodes in your own environment with Chainstack Self-Hosted, giving you full control over data, security, and infrastructure. Welcome to the documentation for Chainstack Self-Hosted, a control plane for deploying and managing blockchain infrastructure in your own environment. #... Read more ›
You built the pipeline. You chunked the documents. You picked a solid embedding model. You stood up a vector database. You tested a few… Read more ›
Sampling from high-dimensional, non-log-concave distributions with unnormalized densities is a fundamental challenge in machine learning, particularly when the exact gradient of the potential is unavailable and must be approximated via stochastic gradients that exhibit high variance under a fixed budget of gradient computations per iteration. Although variance reduction techniques such as SGD with momentum, STORM, and PAGE have demonstrated impr... Read more ›