Track, Audit, Optimize: Take Control of Your 4D Web Sessions
Since the introduction of scalable sessions, server-side session management has become an important component of modern 4D architectures. These sessions enable fine-tuned scalability for web applications, but also require stricter supervision to guarantee performance, stability, and license control. With 4D 21, you now have a comprehensive means of inspecting all open web sessions, whether they originate from REST connections, SOAP calls, or 4DACTION requests.
HTTPS Requests Now Support Windows Certificate Store
Starting with 4D 21, your HTTPS requests can now use a certificate stored in the Windows Certificate Store instead of one saved on disk. This is particularly useful when the client-side of HTTPS requests needs to use local certificates.
Semantic search: querying by vector similarity
With the growing importance of vector-based search in AI applications such as semantic search, recommendation engines, and natural language processing, 4D introduces native support for vector queries in the query() function. This enhancement brings vector similarity comparisons directly into the language of DataClass.query() and EntitySelection.query().
Take Control of Standard 4D Components
As a 4D developer, you often want full control over what gets included in your projects. Starting with 4D 21, you can now decide which components provided by 4D are part of your application.
4D 21 and AI Kit: Redefining how applications Think and Act
With 4D 21, AI takes a giant leap forward. At the heart of this evolution is AI Kit’s tool calling, a massive addition that transforms the way you integrate AI into your applications.
Tool calling allows you to extend the model’s capabilities by registering your own methods or functions, which the AI can call automatically when relevant. This means that instead of manually handling every interaction, the chat helper automatically invokes your handlers, giving you both flexibility and control.
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.
UUID Improvements and Sorting with Version 7
Starting with 4D 20 R10, UUIDs are now generated directly using an internal algorithm instead of relying on system functions—giving you better control over their format and behavior. And with this update, you can now opt for version 7 UUIDs, which support chronological sorting. Let’s explore what this means for your applications.
4D Qodly Pro: What’s new in 4D 20 R10
4D 20 R10 is now available and offers a new set of 4D Qodly Pro enhancements throughout the product to stabilize powerful features you might have already used.
Setting up HTTP handlers is now easier than ever.
When rendering a page, URL parts and parameters can now be accessed. And so many enhancements will help you offer your end users a better understanding of their user journeys and clear feedback for each of their actions.
Keep discovering this powerful fully-part-of-4D web development solution, robust and user-friendly.
Build business web applications with minimal coding effort by leveraging the existing business logic you’ve already implemented in your desktop applications.
Let’s take a closer look … Keep reading!
4D AI: Discover the power of 4D Vectors
When working with modern applications, especially those involving Artificial Intelligence, natural language processing, or spatial data, vector math is key. That’s why 4D 20 R10 introduces a new object: 4D.Vector, designed to help developers store and compare data vectors with just a few lines of code.
For example, if you’re building a feature to rank images based on how well they match a text prompt, just generate vectors, compare them using cosine similarity, and sort your results from most to least relevant, all directly in 4D.
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.
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