🎃 The 4D 21 Beta Has Escaped the Lab
Somewhere between the pumpkins and the glowing screens, in the quiet hum of code and caffeine, something stirs. 4D 21 Beta has risen, bringing with it a new wave of powerful features waiting to be tested.
Localize your Qodly Pages: A Practical Guide
Localization of 4D applications has been supported for decades through the XLIFF architecture, designed primarily for desktop applications.
But browsers work differently.
That’s why 4D Qodly Pro introduces a new, built-in internationalization (i18n) approach—one tailored for web interfaces, giving you more flexibility when building multilingual Qodly Pages.
Let’s explore how this works in practice.
4D 21 Beta Starts Today
Beta testing for 4D 21 starts today—enabling you to run semantic vector queries directly in ORDA, use AI tool calling to expose 4D methods inside AI conversations with structured responses, and maintain 4D Remote sessions uninterrupted across network changes. If you’ve ever needed smarter queries, tighter AI integration, or more resilient client connections—this release delivers.
4D 20 R10 is Here
Introducing 4D 20 R10 – Available Now!
You don’t need more features. You need deeper ones. The kind that add meaning to your data. That catch mistakes before they happen. That react in real time, adapt to structure, and make intelligence feel native—not layered on.
4D 20 R10 does exactly that—richer context, tighter control, smarter defaults. It’s not just powerful. It’s purposeful.
Search by Meaning, Not Metadata: Semantic Image Filtering with 4D.Vector
Your users don’t think in filenames or folder hierarchies. They think in ideas.
- “A robot painted in watercolor.”
- “A sunny beach filled with color.”
- “Something that feels like Mona Lisa… but from the future.”
It doesn’t matter if that idea comes from an image, a customer order, an email, or a 4D Write Pro document — the challenge is the same: how do you deliver results that match intent, not just keywords?
With 4D.Vector and 4D AI Kit, your application can finally make sense of meaning. In this post, we’ll illustrate it with semantic image similarity search. And here’s the key: we’re not really working with raw images at all — we’re working with their descriptions. The very same approach works for any kind of text data in your application.
Why Your Search Stack Feels Broken — and How Vector Search Fixes It
You ask a question. Your system gives you keyword matches — close, but not the answer. The real insight? It’s buried in a doc, phrased differently, or hiding in a format your search can’t understand.
Now imagine search that gets what you mean — even if you don’t say it perfectly. That surfaces meaning, not just matching words.
That’s the shift we’re exploring in this blog post: what’s failing today, what’s replacing it, and why vector search is becoming the new default for teams that need clarity at scale.
4D 20 R10 Beta Starts Today
Beta testing for 4D 20 R10 starts today, introducing native vector support, real-time ORDA logic, and a wave of enhancements across UI, networking, security, and build automation—all designed to make your workflows faster, smarter, and more secure.
4D 20 R9 is Here
Introducing 4D 20 R9 – Available Now!
You don’t need more tools. You need sharper ones. The kind that remove friction you’ve quietly accepted. That reduce context switching. That stay out of your way, until the second you need them.
4D 20 R9 does exactly that—cleaner flow, smarter control, faster outcomes. It’s not louder. Just better.
Contact us
Got a question, suggestion or just want to get in touch with the 4D bloggers? Drop us a line!
* Your privacy is very important to us. Please click here to view our Policy