HOW EMBEDDINGS POWER DAILY SYSTEMS

Geoffrey Kirumba — Sat, 11 Oct 2025 14:46:48 +0000

Originally published on Medium.

Ever wonder how YouTube just knows what you’ll want to watch next? Or how Instagram recommends just the reel that keeps you scrolling past midnight?

It’s not coincidence. It’s embeddings — the hidden language behind how systems “understand us.”

How Embeddings Are Created

At a high level, embeddings are vectors — lists of numbers — that capture relationships and meaning.

When a model analyzes text, images, or products, it converts them into a point in a multidimensional space.

Items that are “meaningfully similar” end up close together — e.g. “coffee mug” sits near “tea cup,” but far from “motorcycle.”

Bringing That Power Into My Project

In my current e-commerce build, I use MongoDB + Voyage AI to generate embeddings for every product.

Instead of just indexing item names or tags, I store dense vectors — so when someone searches “affordable office laptop,”

the system doesn’t merely match keywords. It surfaces products that feel relevant.

Those long lists of numbers? They might look odd, but to the model, they encode relationships, context, and meaning.

Every smart system — whether it’s YouTube, Instagram, Spotify or Reddit — is built on the same foundation:

embeddings, silent but powerful.

For me, implementing even a small slice of that in my project transformed how I think about code, systems, and intelligence.

Embeddings might not trend on social, but they are the quiet revolution behind everything that feels smart online.

And being on the journey to “speak” that language? That’s what makes building things feel alive.

Stay tuned — I’ll drop a link to my project soon.

My journey into Next: why i chose it and my first impression

Geoffrey Kirumba — Sat, 08 Feb 2025 21:30:05 +0000

Hello! I’m a software developer who has been working with React technologies for the past year. During this time, I’ve built multiple projects and gained a solid understanding of React. However, as I continued learning and building, I decided to dive into Next.js—and honestly, I don’t see myself going back!

Why I Decided to Learn Next.js
My main motivation for learning Next.js was to expand my knowledge within my tech stack. While I wanted to stay within the React ecosystem, I also wanted to explore a framework that could offer more flexibility and built-in features to improve performance and development speed.

Challenges I Faced with React
While React is great, I encountered some challenges that made me consider switching things up:

API Integration – Managing backend API calls felt repetitive, and I often had to rely on third-party solutions or additional configurations.
Performance Optimization – While React offers client-side rendering (CSR), I wanted a framework that could handle server-side rendering (SSR) and static site generation (SSG) without too much setup.

What Stood Out for Me in Next.js

One of the first things that amazed me about Next.js was its ability to handle API endpoints directly within the same project. The /api directory allows you to create backend routes within your frontend application, eliminating the need for a separate backend for small projects. This makes handling backend resources much easier!

Beyond that, features like:

File-based Routing – No need to configure a router manually; just create a file, and it becomes a route.
Built-in SSR and SSG – Better control over when and how content loads.

Automatic Image Optimization – Handling images in React often requires additional libraries, but Next.js provides an optimized solution out of the box.

Final Thoughts

So far, my transition to Next.js has been an exciting experience. It has solved several issues I faced in React and introduced me to new possibilities. Moving forward, I plan to dive deeper into advanced features like ISR (Incremental Static Regeneration) and middleware.

If you're thinking of learning Next.js, I’d highly recommend it! Have you made the switch, or are you considering it? Let’s discuss in the comments!

DEV Community: Geoffrey Kirumba

HOW EMBEDDINGS POWER DAILY SYSTEMS

How Embeddings Are Created

Bringing That Power Into My Project

My journey into Next: why i chose it and my first impression