System Architecture

Whether you want some quick and dirty data storage, or simply don’t have that heavy requirements for your local database system, SQLite is always a good choice. With its portable single-file …

It is funny how exotic computer technology eventually either fails or becomes commonplace. At one time, having more than one user on a computer at once was high tech, for example. Then there are th…

In this article we explore how to combine a large language model (LLM) with a relational database to allow users to ask questions about their data in a natural way. It demonstrates a Retrieval-Augmented Generation (RAG) system built with Go that utilizes PostgreSQL and pgvector for data storage and retrieval. The provided code showcases the core functionalities. This is an overview of how the

In a relational database, foreign keys are normally used to associate records stored in different tables, but wouldn’t it be nice to define relationships dynamically without having to add extra columns or tables? And while we’re at it, how about having sparse relationships by associating a record directly with any other record like “post X was last edited by user #123” or “post X was flagged for review by user #456” (who happens to be a moderator)?

Intercept any updates to system state and route some of them to a new component

New HTTP/2 Vulnerability Poses Severe Threat to Server Availability

You might think you understand the concept of BadUSB attacks and know how to defend it, because all you’ve seen is opening a terminal window. Turns out there’s still more attack surface…

List of resources to start with Software Language Engineering: the science and tools behind the creation and processing of languages.

Commissioned: The network edge is on its way to becoming the location where data is created faster than ever before, and where application innovation is

Until recently, Wasm’s reality didn’t live up to the hype. Preview 2 is the missing link that Wasm needed to become viable for production use cases.

A big question mark is how to protect our data, especially how to move it and access it as we want, not just being stuck on one cloud provider.

Credit card rewards are mostly funded out of interchange, a fee paid by businesses to accept cards.

In machine learning and AI, vector embeddings are a way to represent complex data, such as words, sentences, or even images as points in a vector space, using vectors of real numbers.

At the end of the day, the digital circuitry in an FPGA chip are analog circuits. When they are operating within their bounds, they properly behave like ideal digital circuits. Usually you want you…

In the past few years we’ve seen the rise of low-power mesh networking devices for everything from IoT devices, weather stations, and even off-grid communications networks. These radio module…

On The Vergecast: bye-bye QWERTY, AI at Microsoft, and two thumbs up on Netflix.

Git is optimized to work with large numbers of small files, like text files. This alone makes Git impractical for managing such datasets.

Poorly made API design decisions, once in production, can cause pain and grief for businesses, customers and development teams for years.

If you’ve got a wireless keyboard or mouse, you’ve probably got a receiver dongle of some sort tucked away in one of your machine’s USB ports. While modern technology has allowed …

In this post we will dive deeper and demystify how apps actually implement authentication. Do it right, and you barely notice it. But do it wrong, and you lock users out or open major security holes.

In this talk, our speaker, Joris Groen, will delve into the 'Behavior Design' approach to User Experience, showcasing the Fogg Behavior Model and an extensive array of desi

Modularity, asynchronous communication and distribution allow systems to satisfy conflicting forces.

Applying first time right during the software development life circle.

Quake 3 Source Code Review, Quake Live Source Code Review

A compilation of key articles that delve into Cedar's capabilities and potential

In this article, we will look at the limitations of RAG and domain-specific Fine-tuning to adapt LLMs to existing knowledge and how a team of UC Berkeley..