Product
Fabrice Mainguené

4D AIKit: Structured Outputs

When using AI in your application, you often need outputs that your code can parse, not just free-form text. Whether you’re generating data for a user interface, automating business logic, or orchestrating multi-step reasoning, predictable, machine-readable responses are essential.

That’s why 4D 21’s 4D AIKit introduces the new response_format attribute, letting you define the exact structure of the model’s output to ensure consistency, validation, and smooth integration into your app logic.

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Product
Fabrice Mainguené

4D NetKit: Simplifying OAuth 2.0 Redirects after authentication

4D NetKit just made redirecting users after OAuth 2.0 authentication easier with 4D 21. The OAuth2Provider class in 4D NetKit now allows real URLs for authenticationPage and authenticationErrorPage. This means you now have more redirection options after authentication, like a Qodly pages or HTTP Handlers. Whether the authentication succeeds or fails, you stay in control of the user experience with smooth, flexible redirection options.

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Product
Vanessa Talbot

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.

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Product
Fabrice Mainguené

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().

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Product
Fabrice Mainguené

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.

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Tips
Vanessa Talbot

Find the right spot in your 4D Write Pro document with AI

In 4D applications, large documents are commonplace: financial reports, internal guidelines, technical manuals… Searching for an exact keyword often isn’t enough. Scrolling through 30-page reports to find one paragraph is not only time-consuming but also error-prone. This is where AI can help.

The semantic approach based on vectors, introduced in 4D 20 R10, already makes it possible to find a relevant 4D Write Pro document even when different wordings are used (for example, “insert image” vs. “add picture”).

But what happens when a document spans multiple pages and covers various subtopics? Even if the entire text can be converted into a single vector, results are often better when we work at a finer scale. This is the idea behind chunking: splitting a document into coherent segments, each represented by its own vector.

This is precisely what allows us to go further: retrieving not only the right document, but also the exact passage that matches the search.

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